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Natural Language Processing

CZ4045 Natural Language Processing
School of Computer Science and Engineering
Nanyang Technological University

This repository consists of CZ4045 Assignments 1 & 2, detailed in the directory structure as follows:

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β”œβ”€β”€ Assignment 1
β”‚Β Β  β”œβ”€β”€ README.txt
β”‚Β Β  β”œβ”€β”€ Report.pdf
β”‚Β Β  β”œβ”€β”€ SourceCode
β”‚Β Β  β”‚Β Β  β”œβ”€β”€ 3.2 Dataset Analysis
β”‚Β Β  β”‚Β Β  β”‚Β Β  β”œβ”€β”€ 3.2.1 Tokenization, Stemming and POS Tagging.ipynb
β”‚Β Β  β”‚Β Β  β”‚Β Β  β”œβ”€β”€ 3.2.2 Writing Style.ipynb
β”‚Β Β  β”‚Β Β  β”‚Β Β  └── 3.2.3 Extract Noun-Adjective Pairs.ipynb
β”‚Β Β  β”‚Β Β  β”œβ”€β”€ 3.3 Extraction of Indicative Adjective Phrases
β”‚Β Β  β”‚Β Β  β”‚Β Β  └── 3.3 Extracting Indicative Adjective Phrases.ipynb
β”‚Β Β  β”‚Β Β  └── 3.4 Application
β”‚Β Β  β”‚Β Β      β”œβ”€β”€ README - SentimentAnalysis.txt
β”‚Β Β  β”‚Β Β      β”œβ”€β”€ Sentiment Analysis.ipynb
β”‚Β Β  β”‚Β Β      └── app.py
β”‚Β Β  └── reviewSelected100.json
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β”œβ”€β”€ Assignment 2
β”‚Β Β  β”œβ”€β”€ README.txt
β”‚Β Β  β”œβ”€β”€ Report.pdf
β”‚Β Β  └── Source Code
β”‚Β Β      β”œβ”€β”€ Question 1
β”‚Β Β      β”‚Β Β  β”œβ”€β”€ 2.1_Language_Model.ipynb
β”‚Β Β      β”‚Β Β  β”œβ”€β”€ README.txt
β”‚Β Β      β”‚Β Β  β”œβ”€β”€ data.py
β”‚Β Β      β”‚Β Β  β”œβ”€β”€ generate.py
β”‚Β Β      β”‚Β Β  β”œβ”€β”€ generated.txt
β”‚Β Β      β”‚Β Β  β”œβ”€β”€ main.py
β”‚Β Β      β”‚Β Β  β”œβ”€β”€ model.py
β”‚Β Β      β”‚Β Β  β”œβ”€β”€ not_sharing_best_model_0.dat
β”‚Β Β      β”‚Β Β  └── sharing_best_model_0.dat
β”‚Β Β      └── Question 2
β”‚Β Β          β”œβ”€β”€ Q2 1 CNN Layer.ipynb
β”‚Β Β          β”œβ”€β”€ Q2 Part vi- 3 2D CNN Layers.ipynb
β”‚Β Β          β”œβ”€β”€ Q2 Part vi- 3 CNN Layers.ipynb
β”‚Β Β          β”œβ”€β”€ README.txt
β”‚Β Β          └── cnn1-model
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└── README.md

Team

  • Anusha Datta
  • Amrita Ravishankar
  • Clarita Chua
  • Khush Kothari
  • Shipra Sannabhadti

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πŸ“‘ NLP applications with NLTK, spaCy and PyTorch.

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