SU+ Digital Repository
metadata only
Sentiment analysis for hate speech detection on social media: TF-IDF weighted N-Grams based approach
Thesis submitted in partial fulfillment of the requirements for the Degree of Master of Science in Information Technology (MSIT) at Strathmore University
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Mood detection in ambiguous messages: The interaction between text and emoticons#935937
- Dehumanizing Speech#725056
- Identifying and Evaluating Misleading Climate Communication with Natural Language Processing#417938
- Adolescents' Experiences of Hate Speech and Psychological Needs: A Reflexive Thematic Analysis.#351695
- Love, Loathing, and Loyalty: Affective Micropublics on Political TikTok#251605
Record · ID 956873
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive