7952 Open source projects that are alternatives of or similar to Text Analytics With Python

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.

Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage machine learning, deep learning and deep transfer learning to learn and solve popular tasks using NLP including NER, Classification, Recommendation \ Information Retrieval, Summarization, Classification, Language Translation, Q&A and T…

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

Python implementation of TextRank for phrase extraction and summarization of text documents

General Assembly's 2015 Data Science course in Washington, DC

Machine Learning and NLP: Text Classification using python, scikit-learn and NLTK

📓 Long(er) text representation and classification using Doc2Vec embeddings

ADAM - A Question Answering System. Inspired from IBM Watson

NLP in Python with Deep Learning

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

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.

搜索所有中文NLP数据集，附常用英文NLP数据集

Natural Language Processing Best Practices & Examples

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.

State of the Art Natural Language Processing

🦆 Contextually-keyed word vectors

A list of NLP(Natural Language Processing) tutorials

Bert-base NLP pipeline for Turkish, Ner, Sentiment Analysis, Question Answering etc.

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Jupyter Notebook exercises for k-means clustering with Python 3 and scikit-learn

A news recommendation system tailored for user communities

Implementation of a seq2seq model for summarization of textual data. Demonstrated on amazon reviews, github issues and news articles.

Your Advanced Twitter stalking tool

a sklearn wrapper for Google's BERT model

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.

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

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

NLP in Python with Deep Learning

Conversational text Analysis using various NLP techniques

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

Arabic support for textblob

😡😇 Stanford Sentiment Treebank loader in Python

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

An unsupervised analysis combining topic modeling and clustering to preserve an individuals work history and credentials while tailoring their resume towards a new career field

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

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

Resources for learning about Text Mining and Natural Language Processing

Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.

Fast and memory-efficient clustering

Toolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets

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

The Python Code Tutorials

Sentiment Analysis on the First Republic Party debate in 2016 based on Python,NLTK and ML.

Python tutorials as Jupyter Notebooks for NLP, ML, AI

NLP with NLTK for Sentiment analysis amazon Products Reviews

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

Machine Learning (EE 5184) in NTU

🎤 Lyrics/associated NLP data for Billboard's Top 100, 1950-2015.

Natural Language Toolkit for bahasa Malaysia, https://malaya.readthedocs.io/

👑 spaCy building blocks and visualizers for Streamlit apps

Twitter Sentiment Analysis with Gensim Word2Vec and Keras Convolutional Network

Association Rule Mining from Spatial Data for Crime Analysis

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

🔮Deep Learning for text made easy with AllenNLP

Resources for "Natural Language Processing" Coursera course.

An Interactive Approach to Understanding Deep Learning with Keras

✍️ Convolutional Recurrent Neural Network in Pytorch | Text Recognition

Predicting forex binary options using time series data and machine learning

Implementing different RNN models (LSTM,GRU) & Convolution models (Conv1D, Conv2D) on a subset of Amazon Reviews data with TensorFlow on Python 3. A sentiment analysis project.

Detect the sentiment captured in short pieces of text