934 Open source projects that are alternatives of or similar to Hands On Natural Language Processing With Python

A PureScript, browser-based implementation of LDA topic modeling.

Resources for learning about Text Mining and Natural Language Processing

A simple NLP library allows profiling datasets with one or more text columns. When given a dataset and a column name containing text data, NLP Profiler will return either high-level insights or low-level/granular statistical information about the text in that column.

A practical guide to topic mining and interactive visualizations

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

👄 The most accurate natural language detection library for Java and the JVM, suitable for long and short text alike

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

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Repository with all what is necessary for sentiment analysis and related areas

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.

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💫 Automated codification of Greek Legislation with NLP

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A collection of Natural language processing pre-trained models.

This repository contains the code related to Natural Language Processing using python scripting language. All the codes are related to my book entitled "Python Natural Language Processing"

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Fine-tuned pre-trained GPT2 for custom topic specific text generation. Such system can be used for Text Augmentation.

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

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

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

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Named Entity Recognition

CogComp's light-weight Python NLP annotators

package lingo provides the data structures and algorithms required for natural language processing

Beautiful visualizations of how language differs among document types.

Notebooks for the Seattle PyData 2017 talk on Scattertext

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.

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Code For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"

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

LexPredict ContraxSuite

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Deep Learning model to analyze a large corpus of clear text passwords.

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互联网大厂面试经验

Code for the ACL 2018 paper "Neural Document Summarization by Jointly Learning to Score and Select Sentences"

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