tfidf-text-analysis

Document Search Engine project with TF-IDF abd Google universal sentence encoder model

Tunable full text search engine in JavaScript that: (1) works natively on web apps like Express.js; (2) easy to customize (via BM25) to specific types of documents (e.g. tweets, scientifc journals); (3) is deployable on either the client-side or the server side.

文本查重小程序

Web app to match resume to job type, using nlp svm classifier model. Data via webscraping. Uploaded resume converted from PDF to text using OCR.

An NLP model to detect fake news and accurately classify a piece of news as REAL or FAKE trained on dataset provided by Kaggle.

Implementation of a Vector Space Retrieval Model using TF-IDF and cosine similarity on the Cranfield document corpus

Extractive Text Summarizer, based on tf-idf text representation (an example)

Text classification using Naive Bayes Algorithm¶

Detect Real or Fake News. To build a model to accurately classify a piece of news as REAL or FAKE. Using sklearn, build a TfidfVectorizer on the provided dataset. Then, initialize a PassiveAggressive Classifier and fit the model. In the end, the accuracy score and the confusion matrix tell us how well our model fares.

Code for UCSD CSE 258 Web Mining and Recommender Systems

Repositorio com códigos relacionados a pesquisa de TCC sobre desempenho dos algoritmos Naive Bayes, RL e SVM para classificação de revisões.

Finding Similar Pairs using PySpark

E-Commerce Recommendation System

Recommendation systems for Yelp (collaborative filtering & content-based)

NLP coursework | Applied Sciences Faculty, UCU, Lviv (2019)

This case study shows how to create a model for text analysis and classification and deploy it as a web service in Azure cloud in order to automatically classify support tickets. This project is a proof of concept made by Microsoft (Commercial Software Engineering team) in collaboration with Endava http://endava.com/en

NLP project in wich I analyse NLP model. And I start working on ML predictions interpretation.

PROJECTS from Data Science and Analytics, MSc Program 2016-2017 | Hira Fatima

A Term Frequency and inverse distance Frenquency (TF-idF) algorithm in Java language using concurrent techniques

IR System - TFIDF Implementation to search relevant covid19 clinical trails

A Movie recommender system that reads overviews of movies and generates TF-IDF matrix and finds cosine similarity of each movie with other movies and displays the similar movies

A One-of-its kind Platform Offering E-books as a Rental Service integrated with their Digital Devices completely Redesigning the Reading Experience

Predict search relevance given a product name and its text attributes

Python natural language pre-processing scripts

Applying NLP to understand people's sentiment about Covid-19 and Government actions in Italy, conditional on their political affiliation.

Ratings Predictor: Predict whether an Amazon product is highly rated