Topic extractor with the idea of generating labels using genism.n_similarity
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Updated
Apr 2, 2018 - Python
Topic extractor with the idea of generating labels using genism.n_similarity
Twitter Sentiment Analysis
Latent Dirichlet allocation
The repository contains Jupyter notebooks for various NLP tasks.
Embedding模型代码和学习笔记总结
Scraping the employee reviews of the company and extracting the main topics or issues employees are talking about.
this repo contains files for my analysis on disney land visitor reviews using NLP
Exploratory Data Analysis on various data set.
🐬 Reviewer recommendation system for Pull Requests in github using social network analysis and topic modeling.
Implementing Text Summarization techniques on 'CNN DialyMail' dataset, using both 'Extractive' and 'Abstractive' strategies.
🎤 Building a content-based podcast recommender system using NLP
Natural Language Processing for Google Play Applications. Where sentiment analysis was used on reviews to decide on new features to recommend developers.
The goal of the presidential vocabulary program is to find the most similar words to a given word based on all the speeches made by U.S. presidents. It uses Selenium to scrape transcripts of speeches from the Miller Center website.
Improve access to healthcare services and reduce costs.
This repository contains the implementation of our paper "Auto-labelling of Bug Report using Natural Language Processing". Our paper introduces an NLP-based method using bug report attributes, leveraging a neural network for retrieval.
Romanian Word Embeddings. Here you can find pre-trained corpora of word embeddings. Current methods: CBOW, Skip-Gram, Fast-Text (from Gensim library). The .vec and .model files are available for download (all in one archive).
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