382 Open source projects that are alternatives of or similar to Lbl2Vec

Arabic support for textblob

A Modern C++ Data Sciences Toolkit

An experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusive features and nice API. Written in Python and fully compatible with Scikit-learn.

FastText for Node.js

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

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

Kadot, the unsupervised natural language processing library.

R wrapper for fastText

Java interface for fastText

NLP tutorial

A PyTorch-based toolkit for natural language processing

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

Yelp round-10 review comments classification using deep learning (LSTM and CNN) and natural language processing.

OpenTC is a text classification engine using several algorithms in machine learning

Caver: a toolkit for multilabel text classification.

Augmenty is an augmentation library based on spaCy for augmenting texts.

SIGIR 2017: Embedding-based query expansion for weighted sequential dependence retrieval model

Sample code for training Word2Vec and FastText using wiki corpus and their pretrained word embedding..

The missing SVM-based text classification module implementing HanLP's interface

Context Encoders (ConEc) as a simple but powerful extension of the word2vec model for learning word embeddings

Codenames AI using Word Vectors

Kaggle Twitter Sentiment Analysis Competition

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.

A Python implementation of a binary text classifier using Doc2Vec and SVM

Vietnamese Text Classification

Sentiment Analysis: Deep Bi-LSTM+attention model

Python for Text Classification with Machine Learning in Python 3.6.

This repo is a collection of AWESOME things about fake news detection, including papers, code, etc.

HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories (ICDM'19)

Machine Learning (EE 5184) in NTU

Target-dependent sentiment classification in news articles reporting on political events. Includes a high-quality data set of over 11k sentences and a state-of-the-art classification model.

Evidence-based Explanation Dataset (AACL-IJCNLP 2020)

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

Nodejs binding for fasttext representation and classification.

Text processing library for sentiment analysis and related tasks

【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]

Library for fast text representation and extreme classification.

BERT, LDA, and TFIDF based keyword extraction in Python

Model for learning document embeddings along with their uncertainties

Multi-class text categorization using state-of-the-art pre-trained contextualized language models, e.g. BERT

Minimally Supervised Categorization of Text with Metadata (SIGIR'20)

Repository containing code for the paper "Meta-Learning with Sparse Experience Replay for Lifelong Language Learning".

[CIKM 2018] Weakly-Supervised Neural Text Classification

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

分别使用rnn/cnn/rcnn来实现根据患者描述，进行疾病诊断

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

Code for SPINE - Sparse Interpretable Neural Embeddings. Jhamtani H.*, Pruthi D.*, Subramanian A.*, Berg-Kirkpatrick T., Hovy E. AAAI 2018

Active Learning for Text Classification in Python

A ready to go text classification trainer based on synaptic (https://github.com/cazala/synaptic)

Implementation of the paper "Hierarchical GRU for Utterance-level Emotion Recognition" in NAACL-2019.

Code implementation for our ICPR, 2020 paper titled "Improving Word Recognition using Multiple Hypotheses and Deep Embeddings"

Programs with word vectors, RNN, NLP stuff, etc

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

DeepClassifier is aimed at building general text classification model library.It's easy and user-friendly to build any text classification task.

💻Speech and Natural Language Processing (SLP & NLP) Lab Assignments for ECE NTUA

Implementing nlp papers relevant to classification with PyTorch, gluonnlp

Text Classification in Turkish Texts with Bert

Official PHP client for the MonkeyLearn API. Build and consume machine learning models for language processing from your PHP apps.

Sentiment analysis of tweets in Russian using Convolutional Neural Networks (CNN) with Word2Vec embeddings.

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