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lexicon-based

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Group project analyzing news sentiment of articles from The New York Times archives from 2015 to 2017. The app provides visualizations to understand sentiment trends over time, space and categories using Natural Language Processing, and allows user interactivity (@iCode13 worked on the geovizzes and contributed to frontend development). UT Austi…

  • Updated Apr 23, 2021
  • Jupyter Notebook

I performed sentiment analysis aimed at determining the sentiment of 50000 imDB movie reviews, whether they are positive, negative, or neutral. I employed various NLP approaches including lexicon based approaches, machine learning models, PLM models, and hybrid models, and assessed the performance on each type of model.

  • Updated Feb 26, 2024
  • Jupyter Notebook

Repo for Research in the development a General Purpose Sentiment lexicon for the Yoruba Language for use in carrying out sentiment analysis and opinion mining tasks on texts available in Yoruba. This was done using NLP packages in R and based on Bing Luis Lexicon.

  • Updated Jan 6, 2023
  • R

Analysing Usability, User Experience, and Perceived Health Impacts related to Quality of Life based on Users' Opinion Mining: a case study with Just Dance on YouTube

  • Updated Mar 27, 2022
  • Python

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