🎤 Building a content-based podcast recommender system using NLP
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Updated
Jan 19, 2023 - Jupyter Notebook
🎤 Building a content-based podcast recommender system using NLP
Embedding模型代码和学习笔记总结
🐬 Reviewer recommendation system for Pull Requests in github using social network analysis and topic modeling.
Twitter Sentiment Analysis
Topic extractor with the idea of generating labels using genism.n_similarity
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.
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.
Implementing Text Summarization techniques on 'CNN DialyMail' dataset, using both 'Extractive' and 'Abstractive' strategies.
Natural Language Processing for Google Play Applications. Where sentiment analysis was used on reviews to decide on new features to recommend developers.
The repository contains Jupyter notebooks for various NLP tasks.
Exploratory Data Analysis on various data set.
this repo contains files for my analysis on disney land visitor reviews using NLP
This project explores the realm of Natural Language Processing (NLP) using Word2Vec and FastText models. Dive into domain-specific embeddings, analyze clinical trials data related to Covid-19, and uncover the power of AI and ML in understanding textual data.🌟
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).
Scraping the employee reviews of the company and extracting the main topics or issues employees are talking about.
Add a description, image, and links to the genism topic page so that developers can more easily learn about it.
To associate your repository with the genism topic, visit your repo's landing page and select "manage topics."