Text Sentiment Mining used for Constructing Investor Sentiment in Social Media
Survey and Recommendations
Bibliographic Data
| ID | 16914263 |
|---|---|
| Authors | Q Liu (0000-0001-5398-8006, Huainan Normal University), Hosung Son (0000-0002-0901-6805, Pukyong National University, corresponding author) |
| Year | 2025 |
| Volume | 15 |
| Issue | 1 |
| Publication date | 2025-01-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | SAGE Open (JOURNAL) |
| Journal identifiers | ISSN: 2158-2440 • E-ISSN: 2158-2440 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/21582440251328535 |
| OpenAlex | W4409002895 |
| Language | EN |
| References cited | 126 |
The measurement of investor sentiment in social media remains a challenging and unresolved issue. The lack of transparency in sentiment tracking tools and survey methodologies in financial research complicates the distinction between measurement noise and genuine online sentiment in historical studies. This review aims to provide structured recommendations for improving the reliability and standardization of investor sentiment measurement in social media. The findings contribute to enhancing the reliability, replicability, and comparability of studies on investor sentiment, offering valuable guidance for future research in this domain
Advertising · Business · Data science · Natural language processing · Sentiment analysis · Social media · World Wide Web · Advanced Text Analysis Techniques · Computer Science · Psychology · Sentiment Analysis and Opinion Mining · Topic Modeling
The general inquirer
Think Before You Collect
Enriching Word Vectors with Subword Information
The Stanford CoreNLP Natural Language Processing Toolkit
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Sentiment strength detection for the social web
Vader
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On Information and Sufficiency
Maximum Likelihood from Incomplete Data Via the EM Algorithm
Deep learning
Data selection and collection for constructing investor sentiment from social media
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Lexicon-Based Methods for Sentiment Analysis
Talking about emotions
| Highly cited | No |
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