Sentiment Analysis

Sentiment analysis, also known as opinion mining, is the computational process of identifying, extracting, and analyzing subjective information from textual data. It is widely used to determine the emotional tone behind words, classifying the sentiments expressed in a piece of text as positive, negative, or neutral. With the growing amount of user-generated content on platforms such as social media, online reviews, and forums, sentiment analysis has become a crucial tool for understanding public opinion, customer satisfaction, and market trends.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-12
DOI
https://doi.org/10.5281/zenodo.15649252
Primary Topic
Sentiment Analysis and Opinion Mining
Type
article
Field-Weighted Citation Impact
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article

Sentiment Analysis

Zenodo (CERN European Organization for Nuclear Research)
Sentiment Analysis and Opinion Mining
article

Sentiment Analysis

article en

Abstract

Sentiment analysis, also known as opinion mining, is the computational process of identifying, extracting, and analyzing subjective information from textual data. It is widely used to determine the emotional tone behind words, classifying the sentiments expressed in a piece of text as positive, negative, or neutral. With the growing amount of user-generated content on platforms such as social media, online reviews, and forums, sentiment analysis has become a crucial tool for understanding public opinion, customer satisfaction, and market trends.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 75%
Sentiment Analysis and Opinion Mining
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Sentiment Analysis · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS