Browsing by Author "Hassan, Md. Mehedi"

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A Mobile Application for Software Developers Community
(Daffodil International University, 2021-05-31) Hassan, Md. Mehedi; Hassan, Mehedi; Joy, Md. Jahedul Islam
In this project we tried to make a Social media app. We have looked at some other renowned Social media apps like Facebook , Instragram , Twitter , Telegram, We chat, Line, Viber, Imo etc. After this we have developed an android based application that works similarly to these above mentioned apps. In short we are going to call out the project as “Software Developers Community”. Here users can upload images and can comment on post and can also love react if a user wills to do so. ”. Here users can upload images and can comment on post and can also love react if a user wills to do so. Users can also chat in this app. We hope to create a platform where everyone can communicate with each other and interact with each other. Our main target is to create a platform for software developers where they can share their problems and get solution from other developers.
Analysis of Multi-storied Building by Response Spectrum Analysis in Different Seismic Zone
(©Daffodil International University, 2021-02-04) Hassan, Md. Mehedi; Naher, MT. Afrin; Miah, Md. Masum; Jim, Md. Mizanur Rahman
Earthquake is the foremost lamentable and erratic characteristic wonder which causes colossal destruction to human lives as well as foundation. Seismic strengths created amid earthquake leads to serious harm to auxiliary components and now and then basic disappointment. Therefore, investigation and plan of the buildings considering the impact of sidelong strengths is very important angle. Within the display think about 3,4,5 & 6 storied building was analyzed through the response range investigation utilizing three diverse computer computer program i.e. ETABS 2009. The relocations of joints, pivotal strengths, time period and mass partaking factors were considered. The plan reaction range bend recommended by the IS: 1893 Part-1 for seismic plan is utilized to perform the energetic examination. It was found that the considered building is solid for seismic tremor excitation as modular mass support figure is more than 90 percent.
Computational Analysis of Network Model Based Relationship of Mental Disorder With Depression
(Biointerface Research in Applied Chemistry, 2020-05-12) Hasan, Md. Rakibul; Paul, Bikash Kumar; Ahmed, Kawsar; Mahmud, Shahin; Dutta, Mithun; Hosen, Md. Sazib; Hassan, Md. Mehedi; Bhuyian, Touhid
In this study, we present the network relationship of anxiety, eating and mood disorder with depression. Different computational network models have been demonstrated using different ongoing technologies. One of the most common mental illnesses can be classified as anxiety disorders. These are observable psychological conditions or a category of mental illnesses believed to be caused either by genetic weakness or by causes of environmental sensitivity. A wide range of psychological chronic conditions is often correlated with eating disorders (ED). However, the increasing role of lipid metabolism in ED pathogenesis has been highlighted by recent research studies. Depression (DE) acknowledgement is traced back to the ancient Greeks, who called it melancholia. The word depression has originated with the Greeks who used it to identify a specific condition, a God-given spiritual state, or a response involving rage or excitement, in different ways. Throughout drug research and development, finding innovative mechanisms is a massive challenge. In this field, structure-based design is a basic methodology and has become an essential part of developing drugs. The detailed three-dimensional structure of the protein is shown for a significant number of drug targets. While simulation docking and similar biotechnology have progressed in recent times, a suitable set of docking simulations for simulation performance is difficult to identify.
Credit Card Transaction Fraud Detection Using Machine Learning
(DAFFODIL INTERNATIONAL UNIVERSITY, 2024-05-04) Hassan, Md. Mehedi
Credit card fraud is a major challenge for Bank, business owners, credit card users, and transactions services companies, causing every year substantial and growing financial losses. Detecting fraud patterns in credit card transactions is very common problem which is hard to solve. With the ever-growing amount of data generated by credit card transactions, it has become impossible for a human analyst to detect fraudulent patterns in transaction data sets. As a result, the design of credit card fraud detection techniques has increasingly focused in the last decade on approaches based on machine learning (ML) techniques that automate the process of identifying fraudulent patterns from large volumes of data. This project focuses on predictions of whether a credit card transaction is fraudulent or no. To solve this problem, we first build a machine learning model. Then, use existing training data to train the model and evaluate how good its accuracy is.
Design a Photonic Crystal Fiber of Guiding Terahertz Orbital Angular Momentum Beams in Optical Communication
(Optics Communications, Elsevier, 2020-01-15) Kabir, Md. Anowar; Ahmed, Kawsar; Hassan, Md. Mehedi; Hossain, Md. Moynul; Paul, Bikash Kumar
In this letter, a hollow core ring based circular photonic crystal fiber (PCF) is explored and proposed with stably supporting terahertz (THz) orbital angular momentum (OAM) states transmission. The proposed PCF is discussed, investigated, analyzed and simulated with optical properties in a terahertz frequency spectrum ranging from 0.20 THz to 0.55 THz. The OAM and THz communication-based parameters of the fiber are deliberated extensively under various conditions through using the full vector finite element method (FEM). Some significant parameters of PCF like effective refractive index difference, dispersion profile, confinement loss, effective mode area, numerical aperture, power fraction and isolation effects are numerically discussed for the first time with their effects and applications on the THz OAM transmission. The mentioned PCF has supported 48 OAM modes with a large effective refractive index difference up to 10−3. The confinement loss of the PCF around 10−10 dB/cm, and the average dispersion profile variation is 1.0055 ps/THz/cm. Besides, the highest numerical aperture and power fraction of the PCF are 0.35 and 99.7882%, respectively. Also, a higher isolation power effect around 267 dB, and crosstalk less than −14 dB are obtained for the PCF. Moreover, this kind of PCF would be a robust candidate for efficient THz OAM transmission, high capacity and high feasibility of optical fiber.
E-Mart for Bangladesh
(Daffodil International University, 23-02-18) Hassan, Md. Mehedi
E-Mart is basically a multi-vendor e-commerce platform Using MERN Stack. If we think then we can understand that after Covid-19 e-commerce has taken a new form in our country. Which was not seen much before 2018. Corona virus has shown us how technologically backward we are. And taught us that we need to improve our ideas and technology to move forward. From this line of thinking our E-Mart is going to start a new horizon with new ideas and new technology. E-Mart to improve our shopping experience. Because we have given the same flexibility to the merchant as we have thought about the user experience here. Here a customer can buy any product online or offline from any shop of his choice from any shopping complex. Here as a customer will regain his loyalty, merchants will also be able to do their business offline and online. We have to search a lot to buy something we need and sometimes we can't even trust the current e-commerce. The idea of E-Mart is very effective to solve this problem of customers. So I think the idea of e-mart is a modern idea now.
Employees' job satisfaction of Dr. Azmal Hospital
(BRAC University, 2020-01) Hassan, Md. Mehedi; Tasnim, Mayesha
Hospital sector is considered as one of the most fundamental sectors for the basic needs of a country to be able to function. In order to attain progress in health and safety division, there should be a sound hospital system to support not only the health and safety of a country but also the society in order to progress. This report focuses on the employees’ job satisfaction of Dr.Azmal Hospital . It aims to provide an overview about the sectors which plays a role in the employees’ satisfaction or dissatisfaction. As satisfaction of an employee is the most crucial element for the progress of an organization, the management of Dr.Azmal Hospital should try to supply the employee expectations in order to approach the employee satisfaction .The first part of this report consist the organizational overview of Dr. Azmal Hospital, its background, vision, mission, machineries, objective, management hierarchy and SWOT analysis. The second part is about the report which contains rational, background, scope, objectives, methodology, limitations of the study and literature review and job description. Followed by analysis of the data, interpretation, findings, constraints and recommendations. All of these give an insight about the satisfaction of the employees of Dr. Azmal Hospital through detailed interpretation and data analysis which was collected via a questionnaire and interviews from the employee.
Fast and Efficient Lung Abnormality Identification With Explainable AI: A Comprehensive Framework for Chest CT Scan and X-Ray Images
(2024-02-26) Hasan, Md. Zahid; Sidratul Montaha; Khan, Inam Ullah; Hassan, Md. Mehedi; Al Mahmud, Abdullah; Rakibul Haque Rafid, A. K. M.
A novel automated multi-classification approach is proposed for the anticipation of lung abnormalities using chest X-ray and CT images. The study leverages a publicly accessible dataset with an insufficient and unbalanced number of images, addressing this issue by employing the data augmentation approach DCGAN to balance the dataset. Various preprocessing procedures are applied to improve features and reduce noise in lung pictures. As the base for the model, the vision trans-former and convolution-based compact convolutional transformer (CCT) model is utilized. To determine the best model configuration, an ablation study is performed on the original CCT model using a CT scan dataset with image dimensions of 32×32 . Following that, this model is trained on the X-ray dataset to evaluate performance on an entirely other modality. The performances are compared to six pre-trained models with 32×32 images. While traditional models achieved modest performance, with test accuracies ranging from 43% to 77% and 49% to 73% requiring lengthy training times, the suggested model performed exceptionally well, obtaining test accuracies of 99.77% and 95.37% for CT and X-ray, respectively with a short training duration of 10–12 and 40–42 seconds/epoch. Robustness is demonstrated through the progressive reduction of the number of training images, with findings indicating that the model maintains good performance even on a reduced dataset. An explainable AI technique Grad-CAM is used to explain the model’s judgment. Grad-CAM-based color visualization is shown to explain model assessments and help health specialists make quick, confident decisions. This study used image preprocessing and deep learning techniques to detect lung anomalies, and it addressed the challenges of training time and computational complexity.
Intelligent Identification of Hate Speeches To Address the Increased Rate of Individual Mental Degeneration
(Elsevier B.V., 2023-02-14) Ava, Lamima Tabassum; Karim, Asif; Hassan, Md. Mehedi; Faisal, Fahad; Azam, Sami; Al Haque, A S M Farhan; Zaman, Sadika
Hate speech is a public statement that demonstrates resentment or provokes disturbance towards a person or group often based upon race, age, religion, sexual orientation, minority group, psychical disability, political belief, etc. Such an act is a leading cause of mental degeneration in individuals observed throughout the world. We have witnessed an upsurge in the spreading of hateful speech through videos in recent times due to increased social media usage. Researchers are working on this issue because it has become more frequent on several social media platforms, and it leads to low self-esteem and has significant negative impacts on human life. In this work, we focus on collecting data from such videos as nowadays people are sharing numerous videos of this negative nature on platforms like Facebook and YouTube. The audio data of these videos were then converted into text to build the dataset, and we applied some classifier models to our dataset. In this paper, we utilized a transfer learning Bidirectional Encoder Representations from Transformers (BERT) model that gives state-of-the-art outcomes. More precisely, we fine-tuned our model based on transfer learning to evaluate BERT's capacity to capture hostile contexts inside YouTube videos. We examined Fine–Tuning BERT; with different learning rates and listed the outcomes. We train the BERT by freezing all the hyperparameters but with various random seeds to evaluate our suggested Fine-tuning approach. Compared to previous methodologies that used our dataset, our proposition fared better in terms of accuracy and execution time.
Knowledge and Awareness of Monkeypox Among the College Students Bangladesh Perspectives
(Daffodil International University, 22-11-08) Hassan, Md. Mehedi
Monkeypox is a rare disease similar to smallpox caused by the monkeypox virus. Typically, people of Central and West Africa are affected by monkeypox through traveling contact with other persons who are already affected by monkeypox pox. The study aimed to find out the knowledge prevalence rate, and management treatment of monkeypox among College students. Of the 195 participants, the students were 45 % male and 55% female, 89%unmarried, 11% married. 90% of students have heard the name monkeypox 10% of students don't know about monkeypox. 62% of students learned about monkeypox for the first time via social media, 20% through news articles, 16% from teachers,55% of participants think that monkeypox is transmitted by Air and another 45% of participants don’t think it is transmitted by air. 56% of students responded that symptoms of monkeypox typically appear within 2 weeks, 16% said that they typically appear within 3 weeks, and 28% said that they typically appear within 4 weeks. We know about monkeypox but do not have sufficient knowledge about treatment and management. Monkeypox is a viral disease, it can be converted serious disease so we need a large-scale study about it.
Marketing management trainee Department on printing and packaging industry
(BRAC University, 2/7/2015) Hassan, Md. Mehedi; Ahmed, Syeda Shaherbanu Shahbazi
A.R. Printing & Packaging Industry is a versatile manufacturer in quality paper products of Bangladesh. It plays a vital role to contribute to the demand of several largest companies in Bangladesh such as, ACI Pharmaceuticals Ltd., Square Bangladesh Ltd., Aromatic Cosmetics Ltd., Bata Shoes Ltd., and so on. It is a great chance for me to do my internship in A.R. Printing & Packaging Industry. This is a large factory with all the facilities of printing and packaging. A.R. Printing & Packaging Industry is capable of supplying all kinds of printing and packaging products of distinguished design and outstanding quality as per buyer requirements. So, it is a matter of concern that why this industry is well renounced in this packaging world. In the whole procedure of delivering goods to the retailer, maintain relationship and to communicate with them, have a great influence and responsibilities. When, the order is taken from buyer the duty comes to the floor of managers and before going production they do almost everything to make the business smoothly. So, the work starts with the order taking and making business relationship. Then sample making, planning, booking of every single material for samples and getting approval are all the key responsibilities of marketing managers. In production, sample goes in bulk so, the responsibilities become huge and it comes to the relation with operation also. I was selected for the buyer Jamuna welding ltd. And I find it very challenging to fulfill their requirements and deliver the goods on time and also receiving the payments. It was a great joy to work in this place and I really enjoyed it.
Non-metal Doped TiO2 Nanocomposites for the Removal of Nuclear Waste from Water
(© University of Dhaka, 2026-03-03) Hassan, Md. Mehedi
This study focuses on the synthesis and evaluation of non-metal doped titanium dioxide (TiO2) nanoparticles for the potential remediation of radionuclide-contaminated water. Undoped TiO2 and doped TiO2, e.g., B-doped TiO2 (B–TiO2), C-doped TiO2 (C–TiO2), N-doped TiO2 (N–TiO2) were successfully prepared by the sol-gel method. The resultant nanoparticles were thoroughly characterized by XRD, FESEM, EDX, TEM, FTIR, UV–Vis spectroscopy, DLS, zeta potential measurement, and AAS to study their structural, morphological, optical, and adsorption properties. Furthermore, batch adsorption and photocatalytic experiments using adsorbents were conducted to assess their efficiency in radionuclide removal. While attempting to extract radioactive isotopes from water, real radionuclides were not implemented due to safety, cost, and facility constraints. Instead, the nonradioactive analogs—cobalt, iodine, manganese, and zinc (which have similar radioisotopes, such as 60Co2+, 131I-, 54Mn2+, and 65Zn2+)—were employed, due to their similarity with the radioactive elements. XRD results revealed that both the doped and undoped TiO2 were crystalline anatase, and B-doping led to the formation of a small amount of the rutile phase. Both SEM and TEM images showed that the morphology and particle dimension were influenced by doping, with the smallest average particle size being reached for C–TiO2. The adsorption capacity was evaluated using iodine adsorption and the removal of metal ions. The C–TiO2 and N–TiO2 nanocomposites were found to show excellent adsorption properties among the doped samples, which may be due to a higher surface area and improved surface chemistry. The findings indicate that non-metal doping can enhance the photocatalytic and adsorption activity of TiO2. Thus, these materials are promising candidates for treating radioactive wastewater.
Novel Approach of Anti-Resonant Fiber with Supporting 64 Orbital Angular Momentum Modes for Optical Communication
(Scopus, 22-03-29) Hassan, Md. Mehedi; Abdulrazak, Lway Faisal; Alharbi, Abdullah G.; Ahmed, Kawsar; Bui, Francis M.; Al-Zahrani, Fahad Ahmed; Uddin, Muhammad Shahin
A novel single material-based anti-resonant fiber is designed, investigated, and explored in this article with supports of up to 64 OAM modes over the 0.6 lm to 1.0 lm as operating wavelength. The other properties of the designed fiber including confinement loss (CL), OAM purity, effective refractive index differences (ERIDs), and dispersion variations provide the exceptional output. This fiber, the CL approximately varies between the 5.7031 105 dB/m to 9.2537 104 dB/m, the OAM purity is 97% to 99%, the ERIDs are higher than 104 for all the modes, and the least dispersion variations is 8.838 ps/km-nm for the EH1,1 mode. All the outstanding properties of the presented fiber are calculated using the FEM and the PML within the COMSOL Multiphysics simulator. Therefore, to the ideal of our knowledge, the proposed antiresonant fiber is mostly applicable in the high-quality long-distance fiber communications system.
Novel Spider Web Photonic Crystal Fiber for Robust Mode Transmission Applications with Supporting Orbital Angular Momentum Transmission Property
(Optical and Quantum Electronics, Springer, 2020-06-25) Kabir, Md. Anowar; Hassan, Md. Mehedi; Ahmed, Kawsar; Rajan, M. S. Mani; Aly, Arafa H.; Hossain, Md. Nadim; Paul, Bikash Kumar; Hassan, Md. Mehedi
In this article, a novel spider web shaped circular photonic crystal fiber (PCF) is proposed and analyzed. It can support more orbital angular momentum (OAM) modes up to 26. This PCF also operates at 1000 nm bandwidth ranging from 800 to 1800 nm. The proposed PCF provides a design strategy for better OAM quality by using the finite element method (FEM). It also includes seven OAM parameters with a better requirement of PCF. In addition, relatively lower confinement loss (less than 10−8 dB/m) is obtained for maximum eigenmodes. The most of OAM modes are shown smooth dispersion profile. Besides, the nonlinear coefficient is comparatively low, maximum modes are shown nonlinear coefficient around 2 to 3 W−1 km−1 at 1.55 μm. This novel structure is a strong candidate for robust, secure, high speed, and high-capacity transmission. It can be also used in mode division multiplexing, long haul communication and sensing.
Numerical Analysis of Circular Core Shaped Photonic Crystal Fiber for Orbital Angular Momentum with Efficient Transmission
(Applied Physics B: Lasers and Optics, Springer, 2020-08-07) Hassan, Md. Mehedi; Kabir, Md. Anowar; Hossain, Md. Nadim; Nguyen, Truong Khang; Paul, Bikash Kumar; Ahmed, Kawsar; Dhasarathan, Vigneswaran
In this paper, a circular core shaped photonic crystal fiber (PCF) is proposed and the optical propagation characteristics are investigated and simulated by applying the finite element method (FEM) with the help of COMSOL Multiphysics software. The cladding of this PCF is composed of fused silica including a large center air-hole. The simulation process is performed within 1000–2000 nm wavelength. The raised PCF supports up to 38 OAM modes with larger bandwidth (1000 nm) as well as flat dispersion variations. The refractive index difference can exceed 10−410−4 for each OAM mode. The confinement loss of this PCF remains low approximately around 10−910−9 to 10−810−8 dB/m, comparatively better the nonlinearity, the numerical aperture, and the dispersion variation evolves into smoother. So, all these optimizing optical properties prove that our designed PCF is a promising candidate for the OAM mode transmission and other relevant optical communications.
Numerical Investigation of Nanowire GAAS/INN Gate-All-Around TFET With HfO2/TiO2/HfO2/BaTiO3 Gate Structure
(Daffodil International University, 23-03-18) Hassan, Md. Mehedi; Faruqe, Md. Omar
Using TCAD simulation, we demonstrated a nanowire gate-all-around (GAA) tunnel field-effect transistor (TFET) based on the GaAs/InN heterostructure. In the gate stacking, we proposed a tri-layer HfO2/TiO2/HfO2 high-K dielectric and a ferroelectric (FE) layer of barium titanate (BaTiO3). Because of its improved electrostatic control and quantum mechanical tunneling, the proposed GAA-TFET overcomes the thermionic limitation (60 mV/decade) of conventional MOSFETs' subthreshold swing (SS). Simultaneously, the state of ferroelectric materials improves TFET performance by exploiting differential amplification of the gate voltage under certain conditions. The very low DIBL of 13 mV and the transconductance of 4.92 mS are the most surprising discoveries of this device, which outperforms all previous results. The 5 nm barium titanite results in the lowest SS of 55 mV/dec. Furthermore, the output characteristics revealed a significant on-state current of 27.5A, and ION/ IOFF ratio of 1.831 x 109, and a threshold voltage of 0.95. As a result, all the results suggest that the proposed device structure may pave the way for a new path for electronic devices, resulting in higher speed and lower power consumption.
Photonic Crystal Fiber for Robust Orbital Angular Momentum Transmission
(Scopus, 2020) Hassan, Md. Mehedi; Kabir, Md. Anowar; Hossain, Md. Nadim; Biswas, Bipul; Paul, Bikash Kumar; Ahmed, Kawsar
In this paper, a novel design, photonic crystal fiber (PCF) has been reported to support more orbital angular momentum (OAM) modes for the first time. The cladding region formed by employing the three-layer chain shaped air cavities. The OAM properties and parameters are calculated by optimizing the design of the PCF. The simulation results can support 26 OAM modes with a wider bandwidth (750 nm). The confinement loss of the most OAM modes is below average 10−7 dB/m and the nonlinear coefficient is less than 4 W−1/km. Some OAM modes with comparatively flat dispersion variation (such as 3.8684 ps/km-nm) for HE2,1 are noticed from the design. Moreover, fundamental optical characteristics have been rigorously computed by utilizing the finite element method. Now, it can be anticipated that, these excellent optical characteristics confirm the introduced design as a prominent candidate for the OAM transmission and other relevant areas of optical communications.
Project Report on Customer service Delivery process and HR Practice of Grameenphone Ltd.
(East West University, 12/30/2009) Hassan, Md. Mehedi
Customer Service Division is an infrastructure that enables -the delineation of an increase in customer value and the correct means by which to motivate valuable customers to remain loyal-indeed, to buy again and use the SIM. The influence of mobile telecommunication is multi faceted. It has become an indispensable part of urban life. Certainly nowadays mobile telecommunication services serve not only for traditional communication purposes but also as a new channel for existing entertainment and new types of. entertainment. Mobile phone network is not appearing with dynamic features as per demand of the situation rather they are trying to be more traditional with modern technology. The service providers of this industry are now fighting for the existing customers in the same market instead of developing new market and new innovative products. So it is now very important issue for the mobile operators company to retain their present customer. Because the market growth rate for this particular industry are very dawdling now. For this reasons the companies focusing their Customer Relationship Management strategy through which they mainly retain their present customer. In this research I find out how the companies provide their post purchase service to their customer as well as what is their customer opinion about their service. Through this findings I try to pin point which factor are more important to achieve the higher customer satisfaction. And how the companies increase their customer satisfaction rate, at the same time how the company retains their internal customer.
Proposal of a Highly Birefringent Bow-Tie Photonic Crystal Fiber for Nonlinear Applications
(Scopus, 2020) Hossain, Md. Moynul; Kabir, Md. Anowar; Hassan, Md. Mehedi; Parag, Md. Ashikur Rahman; Hossain, Md. Nadim; Paul, Bikash Kumar; Uddin, Muhammad Shahin; Ahmed, Kawsar
In this letter, a bow-tie-type photonic crystal fiber (PCF) with high birefringence (Hi-Bi) has been proposed. The core of the PCF is elliptical with Chalcogenide glass (Ga8Sb32S60Ga8Sb32S60) material. The whole analysis of the PCF is finished by the finite element method (FEM) for wavelength ranging from 2,000 nm to 3,000 nm to obtain some optical parameters like birefringence, beat length, power fraction, numerical aperture, effective refractive area, and nonlinearity. Therefore, a perfectly matched layer (PML) is also used to throw out unwanted radiation directed as an absorbing boundary condition (ABC). It has generated high birefringence (Hi-Bi) of 0.287 at 2,975 nm wavelength, the highest power fraction of 89.39% at 2,000 nm wavelength, the higher numerical aperture of 0.86, and the better nonlinearity of 6.10 ×× 103103 W−1Km−1W−1Km−1. Hence, the proposed PCF plays a significant role in PCF areas with the better polarization filter, cross talk (CT), sensing, and nonlinear applications.
Sentimental analysis of food review contents to improve food culture and the quality of virtual content using natural language processing and machine learning
(BRAC University, 2022-09) Sarkar, Ripa; Hassan, Md. Mehedi; Azad, Farin Beante; Hossin, Md. Nibras; Shakil, Arif
Internet-based applications like social media platforms and blogs have exploded in popularity, and with them have come reviews and commentary on people’s daily lives. Unfortunately, the vast majority of these evaluations and commentary are critical. even in material devoted to reviewing food, like food blogs, vlogs and cook ing videos. Data collection and analysis based on people’s subjective feelings about a certain topic, product, subject, or service is known as sentiment analysis. By using techniques from natural language processing and text mining, sentiment analysis is able to recognize and extract empathetic details from written content. In this study, we’ll go through a high-level introduction to the process for doing so, as well as the uses of sentiment analysis. After that, it analyzes the methods in order to weigh their merits and drawbacks via a series of comparisons and assessments. Several classifiers (Logistic Regression, Multinomial Naive Bayes, K-Nearest Neighbors, De cision Tree, Random Forest, AdaBoost, and SVM) are used to divide the sentiment into one of three categories, like positive, negative, or sarcastic.