# Sentiment Analysis and Opinion Mining

{
  "id": "T10664",
  "title": "Sentiment Analysis and Opinion Mining",
  "url": "/topics/T10664",
  "kind": "topic-directory",
  "aeo_cohort": "topic-directory",
  "provider": "openalex",
  "revision": "2d2b2c77158191ae",
  "catalogue_revision": "f050b5d4780b1289",
  "numeric_address": "36174245025449043",
  "address_version": "morton4x16-v1",
  "coordinates": [
    3,
    17,
    1702,
    10664
  ],
  "answer_status": "Directory metadata; local answer requires separate source review",
  "truth_status": "Subject descriptor, not a factual answer or a demonstrated knowledge gap"
}

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.

Directory metadata is not a factual answer or evidence of a global knowledge gap.

Source: https://openalex.org/T10664

No owner-reviewed local answer yet.