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6.0-q-a_chatbot_capstone-pre

This repository dives into the basics of a Word2Vec, Word-Movers-Distance, Doc2Vec, TF-IDF, BM-25, Sentence-Paragraph_Similarity and Sentence Document Similarity Module.

arduino-audio-visualizer

bengalidocumentclustering

This is part of a bigger project. In this part, it creates clusters of bengali news documents, where the goal is to cluster news of the same story from different newspapers. The module is written in Python, which creates a distance matrix of multiple documents using word mover's distance, create clusters using hierarchical clustering algorithm, automatically detacs the number of clusters and outputs the culsers ina json file.

bioir

Using Centroids of Word Embeddings and Word Mover's Distance for Biomedical Document Retrieval in Question Answering.

cv_parsing-using-nlp

Collect Job seeker Data from PDF or Word file using Python

data-science-module-wqu

language_processing

pke

Python Keyphrase Extraction module

python-100-days

Python - 100天从新手到大师

resume

resume-parser

Linkedin Resume Parser in Python3

resume-parsing

Parsing data from .pdf

resumeparser

Parse resume using Machine Learning and Python

tf-idf

The TF-IDF technique can be used to compute similarity among a data set of documents and can be used as a basis of recommendation.

tf-idf_and_k-means

Text clustering with K-means and tf-idf

word2vec-googlenews-vectors

word2vec Google News model