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[HTML][HTML] Sentiment analysis and opinion mining on educational data: A survey
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 …
identify human intentions from their reviews. In the education sector, opinion mining is used …
Opinion mining for software development: a systematic literature review
Opinion mining, sometimes referred to as sentiment analysis, has gained increasing
attention in software engineering (SE) studies. SE researchers have applied opinion mining …
attention in software engineering (SE) studies. SE researchers have applied opinion mining …
Covid-19 fake news sentiment analysis
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 …
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
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 …
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
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) …
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 …
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
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 …
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
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 …
get important information from a large dataset. It centers on the investigation and …
[HTML][HTML] Improving sentiment analysis accuracy with emoji embedding
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 …
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
Sentiment analysis focuses on identifying and classifying the sentiments expressed in text
messages and reviews. Social networks like Twitter, Facebook, and Instagram generate …
messages and reviews. Social networks like Twitter, Facebook, and Instagram generate …