# Twitter Sentiment Analysis Applied to Finance: A Case Study in the Retail Industry

arXiv: https://arxiv.org/abs/1507.00784 · HTML: https://mlsanity.com/paper/1507.00784/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 2 Jul 2015.

## Built on by (most cited first, 3 of 3)

- [Modeling and Detecting Company Risks from News: A Case Study in Bloomberg News](https://mlsanity.com/paper/2508.10927/) (2025)
- [Enhanced Sentiment Analysis of Iranian Restaurant Reviews Utilizing Sentiment Intensity Analyzer & Fuzzy Logic](https://mlsanity.com/paper/2503.12141/) (2025)
- [MEANT: Multimodal Encoder for Antecedent Information](https://mlsanity.com/paper/2411.06616/) (2024)

## Abstract (arXiv)

This paper presents a financial analysis over Twitter sentiment analytics extracted from listed retail brands. We investigate whether there is statistically-significant information between the Twitter sentiment and volume, and stock returns and volatility. Traditional newswires are also considered as a proxy for the market sentiment for comparative purpose. The results suggest that social media is indeed a valuable source in the analysis of the financial dynamics in the retail sector even when compared to mainstream news such as the Wall Street Journal and Dow Jones Newswires.