mlsanityData to 7 Oct 2026

Scattertext: a Browser-Based Tool for Visualizing how Corpora Differ

arXiv 1703.00565 ↗First posted 2 Mar 2017cs.CL cs.IRcited by 22

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Abstract (arXiv)

Scattertext is an open source tool for visualizing linguistic variation between document categories in a language-independent way. The tool presents a scatterplot, where each axis corresponds to the rank-frequency a term occurs in a category of documents. Through a tie-breaking strategy, the tool is able to display thousands of visible term-representing points and find space to legibly label hundreds of them. Scattertext also lends itself to a query-based visualization of how the use of terms with similar embeddings differs between document categories, as well as a visualization for comparing the importance scores of bag-of-words features to univariate metrics.

Key facts. Cited by 22 papers in the map (data through 7 Oct 2026). First posted on arXiv 2 Mar 2017.

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Citing papers per year: 2021: 4; 2022: 5; 2023: 4; 2024: 5; 2025: 2; 2026: 2.

22 papers.

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  1. 2021Efficient Domain Adaptation of Language Models via Adaptive Tokenizationcited by 34
  2. 2024Measuring and Benchmarking Large Language Models' Capabilities to Generate Persuasive Languagecited by 31
  3. 2023Conversational Feedback in Scripted versus Spontaneous Dialogues: A Comparative Analysiscited by 10
  4. 2023The timing bottleneck: Why timing and overlap are mission-critical for conversational user interfaces, speech recognition and dialogue systemscited by 9
  5. 2021Detecting of a Patient's Condition From Clinical Narratives Using Natural Language Representationcited by 8
  6. 2025Why Chain of Thought Fails in Clinical Text Understandingcited by 8
  7. 2021Characterizing Partisan Political Narrative Frameworks about COVID-19 on Twittercited by 7
  8. 2023Specious Sites: Tracking the Spread and Sway of Spurious News Stories at Scalecited by 7
  9. 2024MAiDE-up: Multilingual Deception Detection of GPT-generated Hotel Reviewscited by 5
  10. 2022Are Metrics Enough? Guidelines for Communicating and Visualizing Predictive Models to Subject Matter Expertscited by 4
  11. 2022Visualizing and Explaining Language Modelscited by 4
  12. 2024The Knesset Corpus: An Annotated Corpus of Hebrew Parliamentary Proceedingscited by 4
10 more
  1. 2024The Impact of LoRA Adapters on LLMs for Clinical Text Classification Under Computational and Data Constraintscited by 4
  2. 2022Understanding Toxicity Triggers on Reddit in the Context of Singaporecited by 3
  3. 2024Cross-cultural Inspiration Detection and Analysis in Real and LLM-generated Social Media Datacited by 3
  4. 2021Predicting gender and age categories in English conversations using lexical, non-lexical, and turn-taking featurescited by 2
  5. 2022Building and curating conversational corpora for diversity-aware language science and technologycited by 2
  6. 2022Automated clustering of COVID-19 anti-vaccine discourse on Twittercited by 0
  7. 2023EasyNER: A Customizable Easy-to-Use Pipeline for Deep Learning- and Dictionary-based Named Entity Recognition from Medical and Life Science Textcited by 0
  8. 2025Signals from the Floods: AI-Driven Disaster Analysis through Multi-Source Data Fusioncited by 0
  9. 2026Visual Fingerprints for LLM Generation Comparisoncited by 0
  10. 2026Token Signatures of Code: Comparing Coding Behaviors Across Large Language Modelscited by 0