# Computational and Text Analysis Methods

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/computational-and-text-analysis-methods/

## Facts

| Field | Value |
| --- | --- |
| Description | This cluster of papers focuses on the application of computational text analysis methods, such as topic modeling, machine learning, and natural language processing, in social science research. It explores the use of these methods for quantitative analysis of textual data, automated content classification, and uncovering patterns and trends in large text corpora. |
| Domain | Social Sciences |
| Field | Social Sciences |
| OpenAlex ID | t13910 |
| Works | 52 |

## Topic papers all

Showing 15 of 52.

- [Structural Topic Models for Open‐Ended Survey Responses](https://scholariq.org/papers/structural-topic-models-for-open-ended-survey-responses/)
- [The Validity of Sentiment Analysis: Comparing Manual Annotation, Crowd-Coding, Dictionary Approaches, and Machine Learning Algorithms](https://scholariq.org/papers/the-validity-of-sentiment-analysis-comparing-manual-annotation-crowd-coding/)
- [Are Issue-Cycles Culturally Constructed? A Comparison of French and American Coverage of Global Climate Change](https://scholariq.org/papers/are-issue-cycles-culturally-constructed-a-comparison-of-french-and-american/)
- [Evolution of artificial intelligence research in Technological Forecasting and Social Change: Research topics, trends, and future directions](https://scholariq.org/papers/evolution-of-artificial-intelligence-research-in-technological-forecasting-and/)
- [Precision Journalism: A Reporter's Introduction to Social Science Methods](https://scholariq.org/papers/precision-journalism-a-reporter-s-introduction-to-social-science-methods/)
- [Why the Pirate Party Won the German Election of 2009 or The Trouble With Predictions: A Response to Tumasjan, A., Sprenger, T. O., Sander, P. G., & Welpe, I. M. “Predicting Elections With Twitter: What 140 Characters Reveal About Political Sentiment”](https://scholariq.org/papers/why-the-pirate-party-won-the-german-election-of-2009-or-the-trouble-with/)
- [An Agenda for Open Science in Communication](https://scholariq.org/papers/an-agenda-for-open-science-in-communication/)
- [News Frame Analysis: An Inductive Mixed-method Computational Approach](https://scholariq.org/papers/news-frame-analysis-an-inductive-mixed-method-computational-approach/)
- [Frontiers: Determining the Validity of Large Language Models for Automated Perceptual Analysis](https://scholariq.org/papers/frontiers-determining-the-validity-of-large-language-models-for-automated/)
- [What’s the Tone? Easy Doesn’t Do It: Analyzing Performance and Agreement Between Off-the-Shelf Sentiment Analysis Tools](https://scholariq.org/papers/what-s-the-tone-easy-doesn-t-do-it-analyzing-performance-and-agreement-between/)
- [Sentiment analysis of social media response on the Covid19 outbreak](https://scholariq.org/papers/sentiment-analysis-of-social-media-response-on-the-covid19-outbreak/)
- [Social media and microtargeting: Political data processing and the consequences for Germany](https://scholariq.org/papers/social-media-and-microtargeting-political-data-processing-and-the-consequences/)
- [Are you ready for artificial Mozart and Skrillex? An experiment testing expectancy violation theory and AI music](https://scholariq.org/papers/are-you-ready-for-artificial-mozart-and-skrillex-an-experiment-testing/)
- [Systematizing Confidence in Open Research and Evidence (SCORE)](https://scholariq.org/papers/systematizing-confidence-in-open-research-and-evidence-score/)
- [Connecting the (Far-)Right Dots: A Topic Modeling and Hyperlink Analysis of (Far-)Right Media Coverage during the US Elections 2016](https://scholariq.org/papers/connecting-the-far-right-dots-a-topic-modeling-and-hyperlink-analysis-of-far/)

## Topic primary papers

Showing 15 of 21.

- [Structural Topic Models for Open‐Ended Survey Responses](https://scholariq.org/papers/structural-topic-models-for-open-ended-survey-responses/)
- [Evolution of artificial intelligence research in Technological Forecasting and Social Change: Research topics, trends, and future directions](https://scholariq.org/papers/evolution-of-artificial-intelligence-research-in-technological-forecasting-and/)
- [Why the Pirate Party Won the German Election of 2009 or The Trouble With Predictions: A Response to Tumasjan, A., Sprenger, T. O., Sander, P. G., & Welpe, I. M. “Predicting Elections With Twitter: What 140 Characters Reveal About Political Sentiment”](https://scholariq.org/papers/why-the-pirate-party-won-the-german-election-of-2009-or-the-trouble-with/)
- [An Agenda for Open Science in Communication](https://scholariq.org/papers/an-agenda-for-open-science-in-communication/)
- [News Frame Analysis: An Inductive Mixed-method Computational Approach](https://scholariq.org/papers/news-frame-analysis-an-inductive-mixed-method-computational-approach/)
- [Frontiers: Determining the Validity of Large Language Models for Automated Perceptual Analysis](https://scholariq.org/papers/frontiers-determining-the-validity-of-large-language-models-for-automated/)
- [What’s the Tone? Easy Doesn’t Do It: Analyzing Performance and Agreement Between Off-the-Shelf Sentiment Analysis Tools](https://scholariq.org/papers/what-s-the-tone-easy-doesn-t-do-it-analyzing-performance-and-agreement-between/)
- [Sentiment analysis of social media response on the Covid19 outbreak](https://scholariq.org/papers/sentiment-analysis-of-social-media-response-on-the-covid19-outbreak/)
- [A Collaborative Way of Knowing: Bridging Computational Communication Research and Grounded Theory Ethnography](https://scholariq.org/papers/a-collaborative-way-of-knowing-bridging-computational-communication-research-and/)
- [Strategy Framing in News Coverage and Electoral Success: An Analysis of Topic Model Networks Approach](https://scholariq.org/papers/strategy-framing-in-news-coverage-and-electoral-success-an-analysis-of-topic/)
- [Image Clustering: An Unsupervised Approach to Categorize Visual Data in Social Science Research](https://scholariq.org/papers/image-clustering-an-unsupervised-approach-to-categorize-visual-data-in-social/)
- [Predictive Modeling for Medical Insurance Malpractice Using Random Forest and XGBoost](https://scholariq.org/papers/predictive-modeling-for-medical-insurance-malpractice-using-random-forest-and/)
- [News media framing of social protests around racial tensions during the Donald Trump presidency](https://scholariq.org/papers/news-media-framing-of-social-protests-around-racial-tensions-during-the-donald/)
- [Something's Fishy About It: How Opinion Congeniality and Explainability Affect Motivated Attribution to Artificial Intelligence Versus Human Comment Moderators](https://scholariq.org/papers/something-s-fishy-about-it-how-opinion-congeniality-and-explainability-affect/)
- [Korea's leadership in 5G and beyond: Footprints and futures](https://scholariq.org/papers/korea-s-leadership-in-5g-and-beyond-footprints-and-futures/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.