Systematic reviews in sentiment analysis: a tertiary study
*** Abstract: With advanced digitalisation, we can observe a massive increase of user-generated content on the web that provides opinions of...
Investigating COVID-19 News Across Four Nations: A Topic Modeling and Sentiment Analysis Approach
. ABSTRACT Newspapers are very important for a society as they inform citizens about the events around them and how they can impact their ...
A Training-Optimization-Based Method for Constructing Domain-Specific Sentiment Lexicon
*** Abstract: Sentiment analysis has been widely used in text mining of social media to discover valuable information from user reviews. Se...
Spider Monkey Crow Optimization Algorithm With Deep Learning for Sentiment Classification and Information Retrieval
*** Abstract: The epidemic increase in online reviews’ growth made the sentiment classification a fascinating domain in academic and industr...
Emotion Recognition by Textual Tweets Classification Using Voting Classifier (LR-SGD)
*** Abstract: The proliferation of user-generated content on social media has made opinion mining an arduous job. As a microblogging platfo...
High-Dimensional Text Clustering by Dimensionality Reduction and Improved Density Peak
*** Abstract: This study focuses on high-dimensional text data clustering, given the inability of K-means to process high-dimensional data a...
Knowledge Guided Capsule Attention Network for Aspect-Based Sentiment Analysis
*** Abstract: Aspect-based (aspect-level) sentiment analysis is an important task in fine-grained sentiment analysis, which aims to automati...
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