genism
There are 0 repository under genism topic.
- Language:Python 36
siddgood / podcast-recommendation-engine
:microphone: Building a content-based podcast recommender system using NLP
Language:Jupyter Notebook 30BlackKakapo / Romanian-Word-Embeddings
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).
l3lackcurtains / github-reviewer-recommender
:dolphin: Reviewer recommendation system for Pull Requests in github using social network analysis and topic modeling.
Language:Jupyter Notebook 11nagypeterjob / xtractor
Topic extractor with the idea of generating labels using genism.n_similarity
Language:Python 7- Language:Python 7
RAVI-CHANDRIKA-05 / ANALYSING_DISNEYLAND_REVIEWS_NLP
this repo contains files for my analysis on disney land visitor reviews using NLP
Language:HTML 2Vidhi1290 / Word2Vec-and-FastText-Word-Embedding-with-Gensim-in-Python
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.🌟
Language:Jupyter Notebook 2arpitamangal / pharma-scrape-and-analysis
Improve access to healthcare services and reduce costs.
Language:Jupyter Notebook 1aryan-jadon / Duplicate-Bug-Detection-Using-NLP
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.
Language:Python 1billsioros / twitter-sentiment-analysis
Twitter Sentiment Analysis
Language:Jupyter Notebook 1krish1000 / NLP-for-Reviews
Natural Language Processing for Google Play Applications. Where sentiment analysis was used on reviews to decide on new features to recommend developers.
Language:Jupyter Notebook 1SivagurunathanV / FAQ
FAQ Page which helps user in finding relevant answers for the questions using NLP
Language:Java 1- Language:HTML 1
zz-xx / reddit_word_2_vec
Applying Word 2 Vec Algorithm on Reddit comments
Language:HTML 1ahmedmoamen1 / USA_Presidential_Vocab
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.
Language:Python 0Aytijha / CNN-Text-Summarization
Implementing Text Summarization techniques on 'CNN DialyMail' dataset, using both 'Extractive' and 'Abstractive' strategies.
Language:Jupyter Notebook 0nihar-phadnis / Analysing-employee-reviews-using-NLP-models-LDA-
Scraping the employee reviews of the company and extracting the main topics or issues employees are talking about.
Language:Jupyter Notebook 0- Language:Jupyter Notebook
githubasr2001 / News-Article-Insights
News Article Insights is a Python project that uses the NewsAPI to fetch articles on specific companies and keywords. It extracts content and performs text analysis, including sentiment analysis, named entity recognition, and topic modeling, to uncover trends and public sentiment, providing valuable insights into the media landscape.
Language:Jupyter NotebookPranjal-Soni / NLP-Notebooks
The repository contains Jupyter notebooks for various NLP tasks.
Language:Jupyter Notebooksanjanagupta16 / Topic-Modeling
Latent Dirichlet allocation
Language:Jupyter Notebook
