https://github.com/snigdho8869/natural-language-processing-nlp-projects
Exploring a collection of Jupyter notebooks showcasing a variety of Natural Language Processing (NLP) projects.
https://github.com/snigdho8869/natural-language-processing-nlp-projects
adaboost-classifier bert-model cnn deep-learning ensemble-learning exploratory-data-analysis gru keras language-detection logistic-regression lstm machine-learning naive-bayes-classifier natural-language-processing nlp random-forest support-vector-machines tensorflow xgboost-classifier xlnet
Last synced: 2 months ago
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Exploring a collection of Jupyter notebooks showcasing a variety of Natural Language Processing (NLP) projects.
- Host: GitHub
- URL: https://github.com/snigdho8869/natural-language-processing-nlp-projects
- Owner: Snigdho8869
- Created: 2023-10-27T11:34:21.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2023-10-31T20:52:09.000Z (over 1 year ago)
- Last Synced: 2024-01-27T02:33:09.149Z (over 1 year ago)
- Topics: adaboost-classifier, bert-model, cnn, deep-learning, ensemble-learning, exploratory-data-analysis, gru, keras, language-detection, logistic-regression, lstm, machine-learning, naive-bayes-classifier, natural-language-processing, nlp, random-forest, support-vector-machines, tensorflow, xgboost-classifier, xlnet
- Language: Jupyter Notebook
- Homepage:
- Size: 11.7 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Natural Language Processing (NLP) Projects
Welcome to the Natural Language Processing (NLP) Projects repository. This repository contains a collection of Jupyter notebooks dedicated to various NLP tasks and projects. Whether you're interested in sentiment analysis, text classification, or language detection, you'll find practical examples and experiments here to enhance your text analysis skills.
## Project Highlights:
- **IMDb Movie Review Sentiment Analysis:** Analyze movie reviews from IMDb to determine sentiment.
- **Movie Genre Prediction:** Predict movie genres based on textual information.
- **Multiclass Text Classification:** Perform multiclass classification on text data.
- **Text Summarizer:** Create automatic text summarization tools.
- **Twitter Suicidal Ideation:** Detect suicidal ideation in Twitter data.
- **Language Detection:** Identify the language of a given text.
- **Spam Detection:** Build a spam email or message classifier.