Samia Tasnim, Md Mahbub Hossain, Hoimonty Mazumder
The coronavirus disease 2019 (COVID-19) pandemic has not only caused significant challenges for health systems all over the globe but also fueled the surge of numerous rumors, hoaxes, and misinformation, regarding the etiology, outcomes, prevention, and cure of the disease. Such spread of misinforma...
Md. Rafiqul Islam, Muhammad Ashad Kabir, Ashir Ahmed, Abu Raihan Mostofa Kamal et al.
Purpose Social networks have been developed as a great point for its users to communicate with their interested friends and share their opinions, photos, and videos reflecting their moods, feelings and sentiments. This creates an opportunity to analyze social network data for user's feelings and sen...
Jim Samuel, G. G. Md. Nawaz Ali, Md. Mokhlesur Rahman, Ek Esawi et al.
Along with the Coronavirus pandemic, another crisis has manifested itself in the form of mass fear and panic phenomena, fueled by incomplete and often inaccurate information. There is therefore a tremendous need to address and better understand COVID-19’s informational crisis and gauge public sentim...
Tanjim Ul Haque, Nudrat Nawal Saber, Faisal Muhammad Shah
The world we see nowadays is becoming more digitalized. In this digitalized world e-commerce is taking the ascendancy by making products available within the reach of customers where the customer doesn't have to go out of their house. As now a day's people are relying on online products so the impor...
Jamin Rahman Jim, Md Apon Riaz Talukder, Partha Malakar, Md. Mohsin Kabir et al.
Sentiment analysis is a method within natural language processing that evaluates and identifies the emotional tone or mood conveyed in textual data. Scrutinizing words and phrases categorizes them into positive, negative, or neutral sentiments. The significance of sentiment analysis lies in its capa...
Junaed Younus Khan, Md. Tawkat Islam Khondaker, Sadia Afroz, Gias Uddin et al.
The proliferation of fake news and its propagation on social media has become a major concern due to its ability to create devastating impacts. Different machine learning approaches have been suggested to detect fake news. However, most of those focused on a specific type of news (such as political)...
Nusrat Jahan Prottasha, Abdullah As Sami, Md. Kowsher, Saydul Akbar Murad et al.
The growth of the Internet has expanded the amount of data expressed by users across multiple platforms. The availability of these different worldviews and individuals' emotions empowers sentiment analysis. However, sentiment analysis becomes even more challenging due to a scarcity of standardized l...
Hatoon S. AlSagri, Mourad Ykhlef
Social media channels, such as Facebook, Twitter, and Instagram, have altered our world forever. People are now increasingly connected than ever and reveal a sort of digital persona. Although social media certainly has several remarkable features, the demerits are undeniable as well. Recent studies ...
Mohammad Rezwanul, Ahmad Ali, A. S.A. Rahman
Millions of users share opinions on various topics using micro-blogging every day. Twitter is a very popular micro-blogging site where users are allowed a limit of 140 characters; this kind of restriction makes the users be concise as well as expressive at the same time. For that reason, it becomes ...
Md Saef Ullah Miah, Md. Mohsin Kabir, Talha Bin Sarwar, Mejdl Safran et al.
Sentiment analysis is an essential task in natural language processing that involves identifying a text's polarity, whether it expresses positive, negative, or neutral sentiments. With the growth of social media and the Internet, sentiment analysis has become increasingly important in various fields...
Abdul Mohaimin Rahat, Abdul Kahir, Abu Kaisar Mohammad Masum
Now a day's sentiment analysis is the most used research topic. The sentiment analysis result is based on different investigation for example politics, terrorism, economy, international affairs, movies, fashion, justice, humanity. Social media are the main resource for collecting people's opinion an...
Nafis Irtiza Tripto, Mohammed Eunus Ali
Sentiment analysis has become a key research area in natural language processing due to its wide range of practical applications that include opinion mining, emotions extraction, trends predictions in social media, etc. Though the sentiment analysis in English language has been extensively studied i...
Abdullah Aziz Sharfuddin, Md. Nafis Tihami, Md. Saiful Islam
In the field of sentiment classification, opinions or sentiments of the people are analyzed. Sentiment analysis systems are being applied in social platforms and in almost every business because the opinions or sentiments are the reflection of the beliefs, choices and activities of the people. With ...
Toufique Ahmed, Amiangshu Bosu, Anindya Iqbal, Shahram Rahimi
Sentiment Analysis tools, developed for analyzing social media text or product reviews, work poorly on a Software Engineering (SE) dataset. Since prior studies have found developers expressing sentiments during various SE activities, there is a need for a customized sentiment analysis tool for the S...
Shaika Chowdhury, Wasifa Chowdhury
Much of the research work on sentiment analysis has been carried out in the English language, but work in Bangla is limited to only news corpus and blogs. Microblogging sites are becoming a valuable source for publishing huge volumes of user-generated information, as users express their views, opini...