632 Open source projects that are alternatives of or similar to text-analysis

Resources for learning about Text Mining and Natural Language Processing

자연어 처리와 텍스트 분석을 위한 오픈소스 파이썬 라이브러리 입니다.

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

An easy-to-use library to extract indices from texts.

BERT, LDA, and TFIDF based keyword extraction in Python

Conversational text Analysis using various NLP techniques

Korpuslinguistik war noch nie so einfach...

This repository contains code and bonus content which will be added from time to time for the book "Learning Social Media Analytics with R" by Packt

🍊 📄 Text Mining add-on for Orange3

🗣️ Tool to generate adversarial text examples and test machine learning models against them

Repository with all what is necessary for sentiment analysis and related areas

Sentiment Analysis & Topic Modeling with Amazon Reviews

Text visualization tools

Detecting Sarcasm on Twitter using both traditonal machine learning and deep learning techniques.

Beautiful visualizations of how language differs among document types.

My solution to the Natural Language Processing course made by Dan Jurafsky, Chris Manning in Winter 2012.

The aim of this repository is to show a baseline model for text classification by implementing a LSTM-based model coded in PyTorch. In order to provide a better understanding of the model, it will be used a Tweets dataset provided by Kaggle.

短文本聚类预处理模块 Short text cluster

parsing fixed width files content made easy

Deduce: de-identification method for Dutch medical text

A PureScript, browser-based implementation of LDA topic modeling.

Document Enrichment plugin for Elasticsearch

List of textual data sources to be used for text mining in R

[KDD 2020] Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding

Mixing Dirichlet Topic Models and Word Embeddings to Make lda2vec from this paper https://arxiv.org/abs/1605.02019

A practical guide to topic mining and interactive visualizations

Code & data accompanying the KDD 2017 paper "KATE: K-Competitive Autoencoder for Text"

A Xamarin + IoT + Azure sample that detects the sentiment of incoming text messages, performs sentiment analysis on the text, and changes the color of a Philips Hue lightbulb

A word embeddings-based semi-supervised model for document scaling

Text vectorization tool to outperform TFIDF for classification tasks

A keyphrase extractor for Persian

Interpretable data visualizations for understanding how texts differ at the word level

CogComp's light-weight Python NLP annotators

Stanford NLP group's shared Python tools.

The Text Mining Elixir

Text Classification by Convolutional Neural Network in Keras

Awesome-Text-Classification Projects,Papers,Tutorial .

An integrated framework in R for textual sentiment time series aggregation and prediction

Explaining textual analysis tools in Python. Including Preprocessing, Skip Gram (word2vec), and Topic Modelling.

A neural network intent parser

Build a Flask web application to help users retrieve key restaurant information and feature-based reviews (generated by applying market-basket model – Apriori algorithm and NLP on user reviews).

Machine Learning Lectures at the European Space Agency (ESA) in 2018

Language, Knowledge, Cognition

【微信公众号：大邓和他的python】, Python语法快速入门https://www.bilibili.com/video/av44384851 Python网络爬虫快速入门https://www.bilibili.com/video/av72010301, 我的联系邮箱[email protected]

Repo for Applied Text Mining in Python (coursera) by University of Michigan

TEANAPS 라이브러리를 활용한 자연어 처리와 텍스트 분석 방법론에 대해 다룹니다.

PipeIt is a text transformation, conversion, cleansing and extraction tool.

A Python Bot for Scraping Conversations from Twitter

R package for web-based interactive topic model visualization.

Fast topic modeling platform

Extract indicators of compromise from text, including "escaped" ones.

Various Algorithms for Short Text Mining

Fast vectorization, topic modeling, distances and GloVe word embeddings in R.

Open Source research tool to search, browse, analyze and explore large document collections by Semantic Search Engine and Open Source Text Mining & Text Analytics platform (Integrates ETL for document processing, OCR for images & PDF, named entity recognition for persons, organizations & locations, metadata management by thesaurus & ontologies, search user interface & search apps for fulltext search, faceted search & knowledge graph)

Textpipe: clean and extract metadata from text

Expands texts as you type, naturally

🔬 Очистка датасетов от мусора (нормализация, препроцессинг)

Quantitative Discourse Analysis Package: Bridging the gap between qualitative data and quantitative analysis

Text Mining in Python

Fake News Detection in Python