Sentiment Analysis and Opinion Mining leaf node


URI

https://openalex.org/T10664

Label

Sentiment Analysis and Opinion Mining

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.

Implementation

@prefix oasubfields: <https://openalex.org/subfields/> .
@prefix openalex: <https://lambdamusic.github.io/openalex-hacks/ontology/> .
@prefix owl: <http://www.w3.org/2002/07/owl#> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix skos: <http://www.w3.org/2004/02/skos/core#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

<https://openalex.org/T10664> a skos:Concept ;
    rdfs:label "Sentiment Analysis and Opinion Mining"@en ;
    rdfs:isDefinedBy openalex: ;
    owl:sameAs <https://en.wikipedia.org/wiki/Sentiment_analysis>,
        <https://openalex.org/T10664> ;
    skos:broader oasubfields:1702 ;
    skos:definition "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."@en ;
    skos:inScheme openalex: ;
    skos:prefLabel "Sentiment Analysis and Opinion Mining"@en ;
    openalex:cited_by_count 676439 ;
    openalex:works_count 39229 .