917 Open source projects that are alternatives of or similar to Texting

NLP DNN Toolkit - Building Your NLP DNN Models Like Playing Lego

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Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.

A Python package implementing a new machine learning model for text classification with visualization tools for Explainable AI

中文分词 词性标注 命名实体识别 依存句法分析 成分句法分析 语义依存分析 语义角色标注 指代消解 风格转换 语义相似度 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理

Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classification tasks. Contains code to easily train BERT, XLNet, RoBERTa, and XLM models for text classification.

A collection of Natural language processing pre-trained models.

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Code and source for paper ``How to Fine-Tune BERT for Text Classification?``

👑 spaCy building blocks and visualizers for Streamlit apps

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Arabic support for textblob

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Pytorch implementation of "Graph Convolutional Networks for Text Classification"

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

Kadot, the unsupervised natural language processing library.

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fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.

Resources for learning about Text Mining and Natural Language Processing

Accelerated deep learning R&D

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The Python Code Tutorials

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.

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

Forte is a flexible and powerful NLP builder FOR TExt. This is part of the CASL project: http://casl-project.ai/

PyTorch implementations of various deep learning models for paraphrase detection, semantic similarity, and textual entailment

Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo

meProp: Sparsified Back Propagation for Accelerated Deep Learning (ICML 2017)

使用 RASA NLU 来构建中文自然语言理解系统（NLU）| Use RASA NLU to build a Chinese Natural Language Understanding System (NLU)

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.

CNN for intent classification task in a Chatbot

TensorFlow implementation of Hierarchical Attention Networks for Document Classification and some extension

This is where I put all my work in Natural Language Processing

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.

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A comparison tool of Japanese tokenizers

Implementation of the multi feed-forward network architecture by Parikh et al. (2016) for Natural Language Inference.

Mining individual characters in multiparty dialogue

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Open Source REST API for named entity extraction, named entity linking, named entity disambiguation, recommendation & reconciliation of entities like persons, organizations and places for (semi)automatic semantic tagging & analysis of documents by linked data knowledge graph like SKOS thesaurus, RDF ontology, database(s) or list(s) of names

Multitask Deep Learning for Sentiment Analysis using Character-Level Language Model, Bi-LSTMs for POS Tag, Chunking and Unsupervised Dependency Parsing. Inspired by this great article https://arxiv.org/abs/1611.01587

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Let your talking do the code

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A high-level machine learning and deep learning library for the PHP language.

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