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Sentiment Analysis and Opinion Mining
TopicLeading institutions, researchers & key papers
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.
152
Works
IDs:OpenAlex
How has Sentiment Analysis and Opinion Mining's publication output changed over time?
ScholarIQpublication output · 2011–2023
Output declined50% over the shown period — from 2 works in 2011 to 1 in 2023.
2
2
1
2
2
1
1
2
1
1
2011201420152016201820192020202120222023
What are the most-cited papers on Sentiment Analysis and Opinion Mining?
ScholarIQmost cited works
Multimodal sentiment analysis: A systematic review of history, datasets, multimodal fusion methods, applications, challenges and future directions
Ankita Gandhi, Kinjal Adhvaryu, Soujanya Poria, Erik Cambria, Amir Hussain
S7560371. 2022732 CitationsOPEN ACCESS
Convolutional MKL Based Multimodal Emotion Recognition and Sentiment Analysis
Soujanya Poria, Iti Chaturvedi, Erik Cambria, Amir Hussain
2016598 Citations
A survey of sentiment analysis in social media
Lin Yue, Weitong Chen, Xue Li, Wanli Zuo, Minghao Yin
S81770430. 2018578 Citations
Fusing audio, visual and textual clues for sentiment analysis from multimodal content
Soujanya Poria, Erik Cambria, Newton Howard, Guang-Bin Huang, Amir Hussain
S45693802. 2015544 Citations
Where is Sentiment Analysis and Opinion Mining research published, and who funds it?
ScholarIQvenues & funding sources
TOP JOURNALS
S7560371732
S81770430578
S45693802544
S193040567396
TOP FUNDERS
National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
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How much of the research on Sentiment Analysis and Opinion Mining is open access?
ScholarIQopen access share
40%OPEN ACCESS
Gold
0%
Green
13%
Hybrid
7%
Bronze
20%
Closed
60%
Related on ScholarIQ
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Multimodal sentiment analysis: A systematic review of history, datasets, multimodal fusion methods, applications, challenges and future directions
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Convolutional MKL Based Multimodal Emotion Recognition and Sentiment Analysis
Paper
A survey of sentiment analysis in social media
Paper
Fusing audio, visual and textual clues for sentiment analysis from multimodal content
Paper
Sentiment Analysis and Opinion Mining
Paper