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NLP
2025
Team coursework

Multilingual Sentiment & Keyword Analyzer

NLP coursework project combining multilingual transformers, sentiment analysis, and keyword extraction.

Built a multilingual NLP system that analyzes reviews from IMDb, Trustpilot, Steam, and Google Play. Uses HuggingFace transformers and KeyBERT for sentiment, emotion, and keyword extraction with 0% error rate across 239 reviews.

Key Outcomes

239 cross-platform reviews analyzed
Sentiment, emotion, and keyword extraction
Transformer-driven multilingual analysis

Context

Problem and Context

Built a multilingual NLP system that analyzes reviews from IMDb, Trustpilot, Steam, and Google Play. Uses HuggingFace transformers and KeyBERT for sentiment, emotion, and keyword extraction with 0% error rate across 239 reviews.

Approach

Approach and Architecture

Multilingual sentiment + keyword extraction with transformer-based NLP.

Implementation

Implementation Details

Python
HuggingFace
spaCy
KeyBERT
LaBSE
VADER
BERT

Results

Results and Tradeoffs

This project is presented as a concise technical overview rather than a full-length narrative case study.

239 cross-platform reviews analyzed
Sentiment, emotion, and keyword extraction
Transformer-driven multilingual analysis

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