Module for automatic summarization of text documents and HTML pages.

Directory Services Internals (DSInternals) PowerShell Module and Framework

Selected Machine Learning algorithms for natural language processing and semantic analysis in Golang

Indra is a Web Service which allows easy access to different distributional semantics models in several languages.

Invoke-KleptoKitty - Deploys Payloads and collects credentials

Document classification using Latent semantic analysis in python

Scripts for an upcoming blog "Extractive vs. Abstractive Summarization" for RaRe Technologies.

利用sklearn和gensim中的tfidf,lsa,doc2vec进行查询与文档匹配搜索

Lecture notes and codes for machine learning

🎨 🎨NLP 自然语言处理教程 🎨🎨 https://dataxujing.github.io/NLP-paper/

This Python code scrapes Google search results then applies sentiment analysis, generates text summaries, and ranks keywords.

LSA-Bot is a new, powerful kind of Chat-bot focused on Latent Semantic Analysis.

Semi-supervised algorithm for document scaling

A Jupyter notebook on implementation of Latent Semantic Analysis (A Topic Modelling Algorithm) in python.

Wikipedia Latent Semantic Analysis with PySpark

Question Answering System For COVID-19 Questions Using NLP Techniques

Windows NTLM hash dump utility written in C language, that supports Windows and Linux. Hashes can be dumped in realtime or from already saved SAM and SYSTEM hives.

Implementation for multi-document query-based abstractive summarisation

This Python code retrieves thousands of tweets, classifies them using TextBlob and VADER in tandem, summarizes each classification using LexRank, Luhn, LSA, and LSA with stopwords, and then ranks stopwords-scrubbed keywords per classification.

This is study repository. Win32, C#, C/C++.