1497 Open source projects that are alternatives of or similar to kwx

Resources for learning about Text Mining and Natural Language Processing

Fake News Detection in Python

A Latent Dirichlet Allocation implementation in Python.

Weaving analytical stories from text data

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

【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]

Multi-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, Distilbert).

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

Building a model to recognize incentives for landscape restoration in environmental policies from Latin America, the US and India. Bringing NLP to the world of policy analysis through an extensible framework that includes scraping, preprocessing, active learning and text analysis pipelines.

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

High performance topic modeling for Ruby

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

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

Awesome-Text-Classification Projects,Papers,Tutorial .

A sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).

A keyphrase extractor for Persian

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.

keywords-extract - Command line tool extract keywords from any web page.

Topic modelling on financial news with Natural Language Processing

A workshop on analyzing topic modeling (LDA, CTM, STM) using R

The Text Mining Elixir

Tagify produces a set of tags from a given source. Source can be either an HTML page, a Markdown document or a plain text. Supports English, Russian, Chinese, Hindi, Spanish, Arabic, Japanese, German, Hebrew, French and Korean languages.

A Python library that enables smooth keyword extraction from any text using the RAKE(Rapid Automatic Keyword Extraction) algorithm.

A Framework for Textual Entailment based Zero Shot text classification

DeEpLearning models for MultIlingual haTespeech (DELIMIT): Benchmarking multilingual models across 9 languages and 16 datasets.

Repository for the projects needed to complete the Data Analyst Nanodegree.

machine learning algorithms in Swift

NLP tutorial

This repo contains a PyTorch implementation of a pretrained ERNIE model for text classification.

finetune bert for small dataset text classification in a few-shot learning manner using ProtoNet

자연어 처리와 텍스트 분석을 위한 오픈소스 파이썬 라이브러리 입니다.

Gibbs sampler for the Hierarchical Latent Dirichlet Allocation topic model

multi-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification，seq2seq，attention，beam search

a small collection of models implemented in keras, including matrix factorization(recommendation system), topic modeling, text classification, etc. Runs on tensorflow.

Korpuslinguistik war noch nie so einfach...

This repo contains a PyTorch implementation of a pretrained BERT model for text classification.

Easy, fast clustering of texts

Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.

Explore your own text collection with a topic model – without prior knowledge.

All NLP you Need Here. 个人实现了一些好玩的NLP demo，目前包含13个NLP应用的pytorch实现

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

Open-source benchmark datasets and pretrained transformer models in the Filipino language.

[EMNLP 2021] Mirror-BERT: Converting Pretrained Language Models to universal text encoders without labels.

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

Sentiment Analysis & Topic Modeling with Amazon Reviews

Conversational text Analysis using various NLP techniques

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A text analysis application for performing common NLP tasks through a web dashboard interface and an API

Pytorch-NLU，一个中文文本分类、序列标注工具包，支持中文长文本、短文本的多类、多标签分类任务，支持中文命名实体识别、词性标注、分词等序列标注任务。 Ptorch NLU, a Chinese text classification and sequence annotation toolkit, supports multi class and multi label classification tasks of Chinese long text and short text, and supports sequence annotation tasks such as Chinese named entity recognition, part of speech ta…

Natural Language Processing for Lithuanian language

Enhancing the BERT training with Semi-supervised Generative Adversarial Networks in Pytorch/HuggingFace

Weakly supervised medical named entity classification

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

Knowledge Graph Embedding LDA. AAAI 2017

KAREN: Unifying Hatespeech Detection and Benchmarking

Text Similarity Applied to resume, to compare Resumes with Job Descriptions and create a score to rank them. Similar to an ATS.

A PyTorch-based toolkit for natural language processing

[ACM-WSDM] 3rd place solution at WSDM Cup 2019, Fake News Classification on Kaggle.

Text preprocessing, representation, similarity calculation, text search and classification. Let's go and play with text!

The code for our paper "NSP-BERT: A Prompt-based Zero-Shot Learner Through an Original Pre-training Task —— Next Sentence Prediction"