Sentiment Analysis and Opinion Mining
Sentiment Analysis and Opinion Mining is a topic indexed in ScholarIQ from OpenAlex.
What is known about Sentiment Analysis and Opinion Mining?
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.
How many works does Sentiment Analysis and Opinion Mining have?
Sentiment Analysis and Opinion Mining has 69,033 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.
How many citations does Sentiment Analysis and Opinion Mining have?
Sentiment Analysis and Opinion Mining has 866,410 citations in the OpenAlex counts ScholarIQ stores.
What is the OpenAlex record for Sentiment Analysis and Opinion Mining?
The OpenAlex for Sentiment Analysis and Opinion Mining is on the source record.