[HTML][HTML] Sentiment analysis and opinion mining on educational data: A survey

T Shaik, X Tao, C Dann, H **e, Y Li… - Natural Language …, 2023 - Elsevier
Sentiment analysis AKA opinion mining is one of the most widely used NLP applications to
identify human intentions from their reviews. In the education sector, opinion mining is used …

Opinion mining for software development: a systematic literature review

B Lin, N Cassee, A Serebrenik, G Bavota… - ACM Transactions on …, 2022 - dl.acm.org
Opinion mining, sometimes referred to as sentiment analysis, has gained increasing
attention in software engineering (SE) studies. SE researchers have applied opinion mining …

Covid-19 fake news sentiment analysis

C Iwendi, S Mohan, E Ibeke, A Ahmadian… - Computers and electrical …, 2022 - Elsevier
Abstract'Fake news' refers to the misinformation presented about issues or events, such as
COVID-19. Meanwhile, social media giants claimed to take COVID-19 related …

Sentiment analysis of lockdown in india during covid-19: A case study on twitter

P Gupta, S Kumar, RR Suman… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
With the rapid increase in the use of the Internet, sentiment analysis has become one of the
most popular fields of natural language processing (NLP). Using sentiment analysis, the …

KnowMIS-ABSA: an overview and a reference model for applications of sentiment analysis and aspect-based sentiment analysis

G D'Aniello, M Gaeta, I La Rocca - Artificial Intelligence Review, 2022 - Springer
The analysis of the opinions of customers and users has been always of great interest in
supporting decision-making in many fields, especially in marketing. Sentiment analysis (SA) …

An intelligent recommendation system in e-commerce using ensemble learning

A Shankar, P Perumal, M Subramanian… - Multimedia Tools and …, 2024 - Springer
In today's world, recommendation systems play a vital role in customer analysis on social
media, online businesses, e-commerce, etc. There are multiple sources of information on the …

SentiStrength-SE: Exploiting domain specificity for improved sentiment analysis in software engineering text

MR Islam, MF Zibran - Journal of Systems and Software, 2018 - Elsevier
Automated sentiment analysis in software engineering textual artifacts has long been
suffering from inaccuracies in those few tools available for the purpose. We conduct an in …

Sentiment analysis on movie review data using machine learning approach

A Rahman, MS Hossen - 2019 international conference on …, 2019 - ieeexplore.ieee.org
At present Sentiment analysis is the most discussed topic which is purposed to assist one to
get important information from a large dataset. It centers on the investigation and …

[HTML][HTML] Improving sentiment analysis accuracy with emoji embedding

C Liu, F Fang, X Lin, T Cai, X Tan, J Liu, X Lu - Journal of Safety Science …, 2021 - Elsevier
Due to the diversity and variability of Chinese syntax and semantics, accurately identifying
and distinguishing individual emotions from online texts is challenging. To overcome this …

Sentiment analysis of tweets using a unified convolutional neural network‐long short‐term memory network model

M Umer, I Ashraf, A Mehmood, S Kumari… - Computational …, 2021 - Wiley Online Library
Sentiment analysis focuses on identifying and classifying the sentiments expressed in text
messages and reviews. Social networks like Twitter, Facebook, and Instagram generate …