# Sentiment Analysis and Opinion Mining

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/sentiment-analysis-and-opinion-mining/

## Facts

| Field | Value |
| --- | --- |
| Description | This cluster of papers focuses on sentiment analysis and opinion mining, particularly in the context of social media and text mining. It covers various techniques such as lexicon-based methods, deep learning, aspect-based sentiment analysis, and machine learning for analyzing emotions and opinions in textual data from platforms like Twitter. The research also delves into emotion recognition and the impact of sentiment analysis on public perception. |
| Domain | Physical Sciences |
| Field | Computer Science |
| OpenAlex ID | t10664 |
| Works | 152 |

## Topic papers all

Showing 15 of 152.

- [A review of affective computing: From unimodal analysis to multimodal fusion](https://scholariq.org/papers/a-review-of-affective-computing-from-unimodal-analysis-to-multimodal-fusion/)
- [Multimodal sentiment analysis: A systematic review of history, datasets, multimodal fusion methods, applications, challenges and future directions](https://scholariq.org/papers/multimodal-sentiment-analysis-a-systematic-review-of-history-datasets-multimodal/)
- [Convolutional MKL Based Multimodal Emotion Recognition and Sentiment Analysis](https://scholariq.org/papers/convolutional-mkl-based-multimodal-emotion-recognition-and-sentiment-analysis/)
- [A survey of sentiment analysis in social media](https://scholariq.org/papers/a-survey-of-sentiment-analysis-in-social-media/)
- [Fusing audio, visual and textual clues for sentiment analysis from multimodal content](https://scholariq.org/papers/fusing-audio-visual-and-textual-clues-for-sentiment-analysis-from-multimodal/)
- [Sentiment Analysis and Opinion Mining](https://scholariq.org/papers/sentiment-analysis-and-opinion-mining/)
- [Interpretable Convolutional Neural Networks with Dual Local and Global Attention for Review Rating Prediction](https://scholariq.org/papers/interpretable-convolutional-neural-networks-with-dual-local-and-global-attention/)
- [Combining lexicon-based and learning-based methods for twitter sentiment analysis](https://scholariq.org/papers/combining-lexicon-based-and-learning-based-methods-for-twitter-sentiment/)
- [Predicting the “helpfulness” of online consumer reviews](https://scholariq.org/papers/predicting-the-helpfulness-of-online-consumer-reviews/)
- [The Validity of Sentiment Analysis: Comparing Manual Annotation, Crowd-Coding, Dictionary Approaches, and Machine Learning Algorithms](https://scholariq.org/papers/the-validity-of-sentiment-analysis-comparing-manual-annotation-crowd-coding/)
- [Sentiment Analysis of COVID-19 tweets by Deep Learning Classifiers—A study to show how popularity is affecting accuracy in social media](https://scholariq.org/papers/sentiment-analysis-of-covid-19-tweets-by-deep-learning-classifiers-a-study-to/)
- [Deep Sentiment Classification and Topic Discovery on Novel Coronavirus or COVID-19 Online Discussions: NLP Using LSTM Recurrent Neural Network Approach](https://scholariq.org/papers/deep-sentiment-classification-and-topic-discovery-on-novel-coronavirus-or-covid/)
- [Senti-lexicon and improved Naïve Bayes algorithms for sentiment analysis of restaurant reviews](https://scholariq.org/papers/senti-lexicon-and-improved-naive-bayes-algorithms-for-sentiment-analysis-of/)
- [Aspect term extraction for sentiment analysis in large movie reviews using Gini Index feature selection method and SVM classifier](https://scholariq.org/papers/aspect-term-extraction-for-sentiment-analysis-in-large-movie-reviews-using-gini/)
- [Sentiment analysis on the impact of coronavirus in social life using the BERT model](https://scholariq.org/papers/sentiment-analysis-on-the-impact-of-coronavirus-in-social-life-using-the-bert/)

## Topic primary papers

Showing 15 of 86.

- [Multimodal sentiment analysis: A systematic review of history, datasets, multimodal fusion methods, applications, challenges and future directions](https://scholariq.org/papers/multimodal-sentiment-analysis-a-systematic-review-of-history-datasets-multimodal/)
- [Convolutional MKL Based Multimodal Emotion Recognition and Sentiment Analysis](https://scholariq.org/papers/convolutional-mkl-based-multimodal-emotion-recognition-and-sentiment-analysis/)
- [A survey of sentiment analysis in social media](https://scholariq.org/papers/a-survey-of-sentiment-analysis-in-social-media/)
- [Fusing audio, visual and textual clues for sentiment analysis from multimodal content](https://scholariq.org/papers/fusing-audio-visual-and-textual-clues-for-sentiment-analysis-from-multimodal/)
- [Sentiment Analysis and Opinion Mining](https://scholariq.org/papers/sentiment-analysis-and-opinion-mining/)
- [Combining lexicon-based and learning-based methods for twitter sentiment analysis](https://scholariq.org/papers/combining-lexicon-based-and-learning-based-methods-for-twitter-sentiment/)
- [The Validity of Sentiment Analysis: Comparing Manual Annotation, Crowd-Coding, Dictionary Approaches, and Machine Learning Algorithms](https://scholariq.org/papers/the-validity-of-sentiment-analysis-comparing-manual-annotation-crowd-coding/)
- [Deep Sentiment Classification and Topic Discovery on Novel Coronavirus or COVID-19 Online Discussions: NLP Using LSTM Recurrent Neural Network Approach](https://scholariq.org/papers/deep-sentiment-classification-and-topic-discovery-on-novel-coronavirus-or-covid/)
- [Senti-lexicon and improved Naïve Bayes algorithms for sentiment analysis of restaurant reviews](https://scholariq.org/papers/senti-lexicon-and-improved-naive-bayes-algorithms-for-sentiment-analysis-of/)
- [Aspect term extraction for sentiment analysis in large movie reviews using Gini Index feature selection method and SVM classifier](https://scholariq.org/papers/aspect-term-extraction-for-sentiment-analysis-in-large-movie-reviews-using-gini/)
- [Sentiment analysis on the impact of coronavirus in social life using the BERT model](https://scholariq.org/papers/sentiment-analysis-on-the-impact-of-coronavirus-in-social-life-using-the-bert/)
- [Systematic literature review of sentiment analysis on Twitter using soft computing techniques](https://scholariq.org/papers/systematic-literature-review-of-sentiment-analysis-on-twitter-using-soft/)
- [A Review of Feature Extraction in Sentiment Analysis](https://scholariq.org/papers/a-review-of-feature-extraction-in-sentiment-analysis/)
- [Ranking online consumer reviews](https://scholariq.org/papers/ranking-online-consumer-reviews/)
- [An ensemble heterogeneous classification methodology for discovering health-related knowledge in social media messages](https://scholariq.org/papers/an-ensemble-heterogeneous-classification-methodology-for-discovering-health/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.