Calculating Jaccard & Cosine Similarity between texts.
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Updated
Oct 11, 2016 - Jupyter Notebook
Calculating Jaccard & Cosine Similarity between texts.
In this project I am using the tf - idf algorithm and cosine similarity to find the similarity of two strings.
Design and compare the performances of Information Retrieval Models of TF-IDF, Cosine Similarity, BM25. Implemented query expansion using psuedo relevance feedback to display better results.
Se analiza un universo de documentos y se describen documentos similares entre sí utilizando Python y SK-Learn
A Turkish NLP tool built as a computer project. Used: Python 3, Word2Vec, Natural Language Processing Techniques, Linux Bash Script.
NLP, flask & Docker deployed in Heroku in a funny API where you can find similarities with your comments and Simpsons & South Park characters
A movie recommendation engine that recommends you movies based on their similarity to a movie that you've already watched and liked.
Comparando cuentos de Manuel Rojas utilizando TF-IDF.
Machine Learning problems solutions with different types of algorithms.
Created a movie recommender engine based on cosine similarity
Module 04 Project for Flatiron School - Recommendation Systems
A Go library that provides a simple API for fuzzy string matching. The implemented algorithm is based on cosine-similarity.
Application of Natural Language Processing using Cosine Similarity to leverage String Matching or Similarity between two data sources as part of Data Migration in Hospitality Industry
Evaluating Descriptive Answer using Cosine-Similarity (Machine Learning) Algorithm.
A machine learning model to recommend movies.This model is completely build in python using cosine similarity.This type of recommendation system, takes in a movie that a user currently likes as input. Then it analyzes the contents,popularity etc of the movie to find out other movies which have similar content.
Recommend a best book based on the ratings: Sort by User IDs number of unique users in the dataset number of unique books in the dataset converting long data into wide data using pivot table Replacing the index values by unique user Ids Impute those NaNs with 0 values Calculating Cosine Similarity between Users on array data Store the results in…
An NLP summary generator website using word vectors and cosine similarity
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