792 Open source projects that are alternatives of or similar to Textblob

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.

Notes and solutions to complement the official NLTK book

NLTK Source

This repository provides everything to get started with Python for Text Mining / Natural Language Processing (NLP)

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

Front-end speech processing aims at extracting proper features from short- term segments of a speech utterance, known as frames. It is a pre-requisite step toward any pattern recognition problem employing speech or audio (e.g., music). Here, we are interesting in voice disorder classification. That is, to develop two-class classifiers, which can discriminate between utterances of a subject suffering from say vocal fold paralysis and utterances of a healthy subject.The mathematical modeling of the speech production system in humans suggests that an all-pole system function is justified [1-3]. As a consequence, linear prediction coefficients (LPCs) constitute a first choice for modeling the magnitute of the short-term spectrum of speech. LPC-derived cepstral coefficients are guaranteed to discriminate between the system (e.g., vocal tract) contribution and that of the excitation. Taking into account the characteristics of the human ear, the mel-frequency cepstral coefficients (MFCCs) emerged as descriptive features of the speech spectral envelope. Similarly to MFCCs, the perceptual linear prediction coefficients (PLPs) could also be derived. The aforementioned sort of speaking tradi- tional features will be tested against agnostic-features extracted by convolu- tive neural networks (CNNs) (e.g., auto-encoders) [4]. The pattern recognition step will be based on Gaussian Mixture Model based classifiers,K-nearest neighbor classifiers, Bayes classifiers, as well as Deep Neural Networks. The Massachussets Eye and Ear Infirmary Dataset (MEEI-Dataset) [5] will be exploited. At the application level, a library for feature extraction and classification in Python will be developed. Credible publicly available resources will be 1used toward achieving our goal, such as KALDI. Comparisons will be made against [6-8].

Python tutorials as Jupyter Notebooks for NLP, ML, AI

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

NLTK Data

Pre-trained Mongolian BERT models

MetaSRA: normalized sample-specific metadata for the Sequence Read Archive

Repository for *SEM Paper on Event Coreference Resolution in ECB+

Natural Language Processing to generate new speeches for the President of Turkey.

Conversational AI Reading Materials

name entity recognition with recurrent neural network(RNN) in tensorflow

💫 Automated codification of Greek Legislation with NLP

👻 Markov chain-based Japanese twitter bot

Paraphrase Generation model using pair-wise discriminator loss

🎨 A complete Pattern Matching library for TypeScript, with smart type inference.

Shared repository for open-sourced projects from the Google AI Language team.

The guide to tackle with the Text Summarization

📝 A syntax-aware linter for prose built with speed and extensibility in mind.

Typing Assistant provides the ability to autocomplete words and suggests predictions for the next word. This makes typing faster, more intelligent and reduces effort.

Self-contained Machine Learning and Natural Language Processing library in Go

An algorithm to augment syntactic hierarchy into word embeddings

Code to reproduce results in our ACL 2018 paper "Did the Model Understand the Question?"

PHP后端开发面试指南。

Simple chatbot in Python using NLTK and scikit-learn

基于深度学习的自然语言处理库

REx: Relation Extraction. Modernized re-write of the code in the master's thesis: "Relation Extraction using Distant Supervision, SVMs, and Probabalistic First-Order Logic"

Machine Reading Comprehension in Tensorflow

Pre-trained subword embeddings in 275 languages, based on Byte-Pair Encoding (BPE)

Budou is an automatic organizer tool for beautiful line breaking in CJK (Chinese, Japanese, and Korean).

This is an implementation of the paper written by Yuhua Li, David McLean, Zuhair A. Bandar, James D. O’Shea, and Keeley Crockett

Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.

Overview of NLP tools and techniques in python

Resources for "Natural Language Processing" Coursera course.

[DEPRECATED] Ultimate Node.JS SDK for api.ai

Investigate how mutual funds leverage credit derivatives by studying their routine filings to the SEC using NLP techniques 📈🤑

Work in progress...

A large annotated semantic parsing corpus for developing natural language interfaces.

Python Keyphrase Extraction module

TextRank implementation for Python 3.

A collection of research on knowledge graphs

🔮Deep Learning for text made easy with AllenNLP

Notes on Deep Reinforcement Learning for Natural Language Processing papers

A C# version of Hazm (Python library for digesting Persian text)

Aspect-Based Sentiment Analysis

DEPRECATED - Basic UI components for ContactLab UX design pattern library

A couple of examples showing how pytest and its plugins can be combined to solve real-world needs.

Cornell Instruction Following Framework

Generating Text using Deep Learning in Python - LSTM, RNN, Keras

Detect the sentiment captured in short pieces of text

R package for Ripple Down Rules-based Part-Of-Speech Tagging (RDRPOS). On more than 45 languages.

🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy

BERT semantic search engine for searching literature research papers for coronavirus covid-19 in google colab

An implementation of the NAACL 2018 paper "Punny Captions: Witty Wordplay in Image Descriptions".

Curated List: Practical Natural Language Processing done in Ruby

Spellcheck, phonetics, text processing and more

Text mining using tidy tools ✨📄✨