LabCompass

Rishabh Sanjay

Social Sciences · Purdue University West Lafayette

OpenAlex
Early career · publishing since 2021
Artificial Intelligence in LawTopic ModelingNatural Language Processing TechniquesSentiment Analysis and Opinion MiningSpam and Phishing Detection

Publications

18

Citations

9

Est. group size

—

Recurring co-author estimate

Active years

6

Publishing since 2021

Research summary
AI-generated

Rishabh Sanjay's publicly listed work spans natural language processing applied to legal documents, including predicting court judgment outcomes, segmenting legal texts by their rhetorical structure, and analyzing sentiment in text messages using deep learning models. The bibliographic record also includes a large number of repository entries labeled 'ArviZ' with no further descriptive metadata, so their specific research content cannot be determined from the data provided.

Legal text analysis and AI in lawCourt judgment predictionNatural language processingSentiment and emotion analysisText classification with deep learning

Publication counts were low or absent for most of the last decade, with a small cluster of legal NLP papers in 2021-2022, followed by a sharp and unexplained spike of repository entries in 2025-2026.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 3.0/year recently
171819202021: 3 publications212022: 1 publication2223242025: 2 publications252026: 12 publications1226
Recent publications
Publishes in
  • Zenodo (CERN European Organization for Nuclear Research)×7
  • Open MIND×6
  • arXiv (Cornell University)×1
  • ArXiv.org×1
  • Smart innovation, systems and technologies×1
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 20, 2026.

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