There are 1 repository under cosine-similarity-scores topic.
A fuzzy matching string distance library for Scala and Java that includes Levenshtein distance, Jaro distance, Jaro-Winkler distance, Dice coefficient, N-Gram similarity, Cosine similarity, Jaccard similarity, Longest common subsequence, Hamming distance, and more..
Mencari Kecocokan Antara Aku dan Dia Menggunakan Metode Cosine Similarity
A web-app which can be used to get recommendations for a series/movie, the app recommends a list of media according to list of entered choices of movies/series in your preferred language using Python and Flask for backend and HTML, CSS and JavaScript for frontend.
Movie recommendation system based on popularity and also using KNN and Cosine similarity. 🎥🍿
This is the Repository for the Mini Project done using the flask and python libraries, required as a part of the course curriculum.
The Programm tries to determine the cosine similarity scores for a set of words in question. Cosine similarity scores indicate the contextual similarity between words.
This repository contains a simple code to compare two sentences based on their semantic similarity scores using a Universal sentence encoder.
A simple python repository for developing perceptron based text mining involving dataset linguistics preprocessing for text classification and extracting similar text for a given query.
This is a book recommendation system based on the book rating data from GoodReads_100k dataset. The dataset contains 100k book.
Collaborative filtering based book recommendation model deployed using flask
This repository hosts a number of short data science solution with code snippets ready to be used in various data science applications
Repository aimed at building a simple recommender system for a content based dataset. The textual information is analysed so as to utilised as a more concrete piece of information!
Demos to test modelling and classification algorithms for face recognition
Portfolio Project.ipynb and Recommendation.py are the finalized Jupiter notebook scripts for this project. Other files are a work in progress to migrate into a web app.
Web search engine to retrieve most relevant web-pages for user search query from web-pages crawled on the UIC domain
A Simple conversational chatbot built using NLU concepts. The project uses reddit comments taken from 2015, which has about 1.7 billiion interactions.
Implementation of Cosine Simlarity algorithm without using any Machine Learning library
In this project I am using the tf - idf algorithm and cosine similarity to find the similarity of two strings.
PDF extractor to pull relevant details from CVs in PDF format, and match them against the job descriptions from the Hugging Face dataset.
Information Retrieval Lab
Implement Information Retrieval Models in JAVA
A movie recommendation engine
This is a speaker verification system uses Total Variability and Projection Matrix. Intersession variability was compensated by using backend procedures, such as linear discriminant analysis (LDA) and within-class covariance normalization (WCCN), followed by a scoring, the cosine similarity score. In literature this approach named i-vectors.
Build an algorithm/model that can quantify the degree of similarity between the two text-based on Semantic similarity. Semantic Textual Similarity (STS) assesses the degree to which two sentences are semantically equivalent to each other.
Movie Recommendation Engine
Successfully developed a machine learning model for computing the similarity score between two text paragraphs taken as input from a webpage.
Text Meeting Summarization
An application to store a collection of questions and answers data found on Stackoverflow in an index using Elastic and perform a text search on the stored Q&A's based on semantic meaning.