# Sentiment Analysis: A Survey

arXiv: https://arxiv.org/abs/1405.2584 · HTML: https://mlsanity.com/paper/1405.2584/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 11 May 2014.

## Built on by (most cited first, 1 of 1)

- [Integration of Explainable AI Techniques with Large Language Models for Enhanced Interpretability for Sentiment Analysis](https://mlsanity.com/paper/2503.11948/) (2025)

## Abstract (arXiv)

Sentiment analysis (also known as opinion mining) refers to the use of natural language processing, text analysis and computational linguistics to identify and extract subjective information in source materials. Mining opinions expressed in the user generated content is a challenging yet practically very useful problem. This survey would cover various approaches and methodology used in Sentiment Analysis and Opinion Mining in general. The focus would be on Internet text like, Product review, tweets and other social media.