Mapping incoming companies based on a given Corpus (of Companies).
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Updated
Mar 22, 2017 - Ruby
Mapping incoming companies based on a given Corpus (of Companies).
Analysis and prediction of review rating(1-5) from review
Classification des Commentaires Youtube
search using query dependedent pagerank
Applying NLP to understand people's sentiment about Covid-19 and Government actions in Italy, conditional on their political affiliation.
Final Year Project
This is another implementation of TF-IDF for binary classification. Just playing around with some Kaggle datasets, and in this case I found an interesting "Fake news" Dataset.
Applying TFIDF Algorithm on a corona virus news article.
Text Summarization using TF-IDF technique in Python.
Utilizing advanced NLP techniques, our project analyzes and summarizes Indian cricket players' Wikipedia content using transformer models and Word2Vec embeddings. Evaluate summaries with ROUGE scores. Enhance decision-making and knowledge extraction with efficient text analysis
Predict which pages are evergreen and can shown to users on StumbleUpon irrespective of Time
Project for Advanced Learning for Text and Graph Data - Peter Martigny & Mehdi Miah
A binary classification problem based on costumer reviews
Bachelor's project
Data preparation and sentiment analysis using the dostoevsky library.
Using NLP to determine user review polarity on Amazon.
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