A program that extracts key terms from news articles using NLTK and sklearn to apply tokenization, lemmatization, part-of-speech tagging and tf-idf vectorization.

A Czech single-document keyword extractor written in Perl.

Master thesis "Entity linking via topic models in Apache Spark" made in Tartu University with support of Inforegister company.

Grafted: Refine your online reading experience with 'grafted' NLP powered brains

Graph-based Implementation of Unsupervised approach Keyword Extraction Approach in NLP.

A Java implementation of the RAKE(Rapid Automatic Keyword Extraction) algorithm

Be Smart With Smart Class

Terminological Ontological Coverage (TOCo) is a package designed for keyword and ontology comparison. This package allows users to extract keywords from documents using various methods and compare their coverage against specified ontological concepts.

By utilizing web scraping techniques, we were able to observe the similarities and differences between both newspapers, when it comes to main keywords, topics, and even the sentiment expressed. How news outlets on both sides of the conflict portray the Ukrainian War, adding a third one that is supporting the Russian narrative in Europe.

Code base for Master's thesis on keywords detection, featuring webpage main body extraction and a better-than-RAKE heuristic keyword extraction algo.

keytext4py

Azure Function triggered by publishing on EventGrid Topic, that allows you to generate keywords from texts and upload them in the DB.

Given a superhero description, find the superhero associate with that description - A Semantic Search Project

An AI based hashtag genrator, which will take a paragraph as an input and will genrate relevent SEO friendly keywords and genrate hashtags related to those keywords and also it will regenerate the paragraph.

This repository consists of machine Learning models, deep learning models and some NLP tasks such as Topic Modelling, Sequence generation, Sentiment analysis, Recommendation System

Keyword and Entity Recognition with Sentence-Level Association Maps: a simple, fast, and novel way to perform keyword extraction on texts by simulating translational entropy calculation

Semantic word relations analysis and visualization for corpus linguistics and NLP

Get Question. Get Clarification. Get Keywords. Get Everything you need. 🤔

Resources generated for the analysis of the HappyDB corpus

The following tool is designed to help to optimise SEO by providing most of the potential keywords related to the given initial words. The tool works in various languages, at the end, the CSV file will be received.