Automatic emotion recognition in healthcare data using supervised machine learning
*** Abstract: Human feelings are fundamental to perceive the conduct and state of mind of an individual. A healthy emotional state is one ...
FOCT: Fast Overlapping Clustering for Textual Data
*** Abstract: Text clustering is used to extract specific information from textual data and even categorizes text based on topic and sentim...
Learning Causal Representations for Robust Domain Adaptation
*** Abstract: In this study, we investigate a challenging problem, namely, robust domain adaptation, where data from only a single well-labe...
n-Gram based language processing using Twitter dataset to identify COVID-19 patients
*** Abstract: Due to the rapid growth of electronic documents, e.g., tweets, blogs, Facebook posts, snaps in different languages that use th...
A review on sentiment analysis and emotion detection from text
*** Abstract: Social networking platforms have become an essential means for communicating feelings to the entire world due to rapid expansi...
Sentiment classification of Chinese Weibo based on extended sentiment dictionary and organisational structure of comments
*** Abstract: Sentiment classification can provide the decision support of social applications such as trend judgment, public opinion monito...
A Survey on Sentiment and Emotion Analysis for Computational Literary Studies
*** Abstract: Emotions are a crucial part of compelling narratives: literature tells us about people with goals, desires, passions, and inte...
Improving the emotion-based classification by exploiting the fuzzy entropy in FCM clustering
*** Abstract Emotion detection in the natural language text has drawn the attention of several scientific communities as well as commercial/...
Tracing the Emotional Roadmap of Depressive Users on Social Media Through Sequential Pattern Mining
*** Depression is one of the most growing health disorders, generating social and economic problems. The affective computing models focus o...
Sentiment Analysis based on Soft Clustering through Dimensionality Reduction Technique
. Abstract Clustering based sentiment analysis confers new directions to analyze real-world opinions without human participation and pre-ta...
Lexical Sense Labeling and Sentiment Potential Analysis Using Corpus-Based Dependency Graph
*** Abstract: This paper describes a graph method for labeling word senses and identifying lexical sentiment potential by integrating the co...
Deep Sentiment Analysis: A Case Study on Stemmed Turkish Twitter Data
*** Abstract: Sentiment analysis using stemmed Twitter data from various languages is an emerging research topic. In this paper, we address...
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...
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