[HTML][HTML] Sentiment analysis on Bangla text using extended lexicon dictionary and deep learning algorithms
NR Bhowmik, M Arifuzzaman, MRH Mondal - Array, 2022 - Elsevier
Sentiment analysis (SA) is a subset of natural language processing (NLP) research. In the
case of categorical weighted based dictionary with rule-based sentiment score generation …
case of categorical weighted based dictionary with rule-based sentiment score generation …
A novel hybrid deep learning model for detecting COVID-19-related rumors on social media based on LSTM and concatenated parallel CNNs
Spreading rumors in social media is considered under cybercrimes that affect people,
societies, and governments. For instance, some criminals create rumors and send them on …
societies, and governments. For instance, some criminals create rumors and send them on …
Application of sentiment analysis as an innovative approach to policy making: A review
This literature review comprehensively explains the role of sentiment analysis as a
policymaking solution in companies, organizations, and individuals. The issue at hand is …
policymaking solution in companies, organizations, and individuals. The issue at hand is …
Supervised classifiers with TF-IDF features for sentiment analysis of Marathi tweets
RS Patil, SR Kolhe - Social Network Analysis and Mining, 2022 - Springer
In today's digital era, the proliferation of vernacular languages such as Hindi, Marathi,
Bengali, Tamil, and Malayalam cannot be overlooked. The social media sites like Facebook …
Bengali, Tamil, and Malayalam cannot be overlooked. The social media sites like Facebook …
Sentilstm: a deep learning approach for sentiment analysis of restaurant reviews
The amount of textual data generation has increased enormously due to the effortless
access of the Internet and the evolution of various web 2.0 applications. These textual data …
access of the Internet and the evolution of various web 2.0 applications. These textual data …
Classification of textual sentiment using ensemble technique
In recent years, the widespread use of the Internet has resulted in a revolutionary way for
people to share their feelings or sentiment on blogs, social media, e-commerce sites, and …
people to share their feelings or sentiment on blogs, social media, e-commerce sites, and …
[PDF][PDF] Recent advances in sentiment analysis of Indian languages
MB Shelke, SN Deshmukh - International Journal of Future …, 2020 - researchgate.net
In the era of technology, each and every one of us is expressing their opinion on social
media platforms very frequently. And these opinions are mostly expressed in regional …
media platforms very frequently. And these opinions are mostly expressed in regional …
Heterogeneous classifier ensemble for sentiment analysis of Bengali and Hindi tweets
K Sarkar - Sādhanā, 2020 - Springer
Sentiment analysis is an essential step for analysing social media texts such as tweets and
other posts on the various micro-blogging sites. The basic step of sentiment analysis is …
other posts on the various micro-blogging sites. The basic step of sentiment analysis is …
Topic sentiment analysis for twitter data in indian languages using composite kernel svm and deep learning
S Maity, K Sarkar - Transactions on Asian and Low-Resource Language …, 2022 - dl.acm.org
Sentiment analysis of public opinions on social networks, such as Twitter or Facebook, can
provide us with valuable information, which has a wide range of applications. But the …
provide us with valuable information, which has a wide range of applications. But the …
Accurate Prediction of Antifreeze Protein from Sequences through Natural Language Text Processing and Interpretable Machine Learning Approaches
Antifreeze proteins (AFPs) bind to growing iceplanes owing to their structural
complementarity nature, thereby inhibiting the ice-crystal growth by thermal hysteresis …
complementarity nature, thereby inhibiting the ice-crystal growth by thermal hysteresis …