1240 Open source projects that are alternatives of or similar to Textblob Ar

State of the Art Natural Language Processing

NLP tutorial

A pythonic wrapper for Stanford CoreNLP.

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.

Kadot, the unsupervised natural language processing library.

Resources for learning about Text Mining and Natural Language Processing

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

Machine learning based text classification in JavaScript using n-grams and cosine similarity

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Sentiment Analysis: Deep Bi-LSTM+attention model

Text processing library for sentiment analysis and related tasks

A comprehensive tool for linguistic analysis of communities

Система, анализирующая тональность текстов и высказываний.

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

Clasificador de preguntas escrito en python 3 que fue implementado en el siguiente vídeo: https://youtu.be/qnlW1m6lPoY

Word semantics Deep Learning with Vanilla Python, Keras, Theano, TensorFlow, PyTorch

Lbl2Vec learns jointly embedded label, document and word vectors to retrieve documents with predefined topics from an unlabeled document corpus.

Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.

BioWordVec & BioSentVec: pre-trained embeddings for biomedical words and sentences

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.

LanguageCrunch NLP server docker image

A paper list for aspect based sentiment analysis.

Simple downloader for pre-trained word vectors

A collection of notebooks for Natural Language Processing from NLP Town

Multi-label Classification with BERT; Fine Grained Sentiment Analysis from AI challenger

Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis

📚 Text classification library with Keras

Text classification meets word embeddings.

Python tutorials as Jupyter Notebooks for NLP, ML, AI

Sarcasm Detection for Sentiment Analysis

Meta learning with BERT as a learner

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

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

小时候练手的nlp项目

Kaggle Twitter Sentiment Analysis Competition

Machine Learning (EE 5184) in NTU

API of Articut 中文斷詞 (兼具語意詞性標記)：「斷詞」又稱「分詞」，是中文資訊處理的基礎。Articut 不用機器學習，不需資料模型，只用現代白話中文語法規則，即能達到 SIGHAN 2005 F1-measure 94% 以上，Recall 96% 以上的成績。

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

A Model for Natural Language Attack on Text Classification and Inference

BERTweet: A pre-trained language model for English Tweets (EMNLP-2020)

中文文本分析工具包（包括- 文本分类 - 文本聚类 - 文本相似性 - 关键词抽取 - 关键短语抽取 - 情感分析 - 文本纠错 - 文本摘要 - 主题关键词-同义词、近义词-事件三元组抽取）

Text classification with Sparse Composite Document Vectors.

Curated List of Persian Natural Language Processing and Information Retrieval Tools and Resources

An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more

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

💫 Industrial-strength Natural Language Processing (NLP) in Python

Natural Language Processing Best Practices & Examples

A Modern C++ Data Sciences Toolkit

🔡 Token level embeddings from BERT model on mxnet and gluonnlp

A tool for learning vector representations of words and entities from Wikipedia

The Python Code Tutorials

This repo contains implementation of different architectures for emotion recognition in conversations.

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

Curated List: Practical Natural Language Processing done in Ruby

基于金融-司法领域(兼有闲聊性质)的聊天机器人，其中的主要模块有信息抽取、NLU、NLG、知识图谱等，并且利用Django整合了前端展示,目前已经封装了nlp和kg的restful接口

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

Naive Bayes text classification implementation as an OmniCat classifier strategy. (#ruby #naivebayes)

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.

An algorithm to augment syntactic hierarchy into word embeddings

🔮Deep Learning for text made easy with AllenNLP