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Extracting summarise-text.md from README.md and adding ToC to README
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neomatrix369 committed Nov 3, 2019
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25 changes: 18 additions & 7 deletions natural-language-processing/README.md
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Expand Up @@ -4,6 +4,22 @@ Better NLP: [![Better NLP](https://img.shields.io/docker/pulls/neomatrix369/bett

NLP Java: [![NLP Java](https://img.shields.io/docker/pulls/neomatrix369/nlp-java.svg)](https://hub.docker.com/r/neomatrix369/nlp-java) | NLP Clojure: [![NLP Clojure](https://img.shields.io/docker/pulls/neomatrix369/nlp-clojure.svg)](https://hub.docker.com/r/neomatrix369/nlp-clojure) | NLP Kotlin: [![NLP Kotlin](https://img.shields.io/docker/pulls/neomatrix369/nlp-kotlin.svg)](https://hub.docker.com/r/neomatrix369/nlp-kotlin) | NLP Scala: [![NLP Scala](https://img.shields.io/docker/pulls/neomatrix369/nlp-scala.svg)](https://hub.docker.com/r/neomatrix369/nlp-scala) | NLP using DL4J (cuda): [![NLP using DL4J (cuda)](https://img.shields.io/docker/pulls/neomatrix369/dl4j-nlp-cuda.svg)](https://hub.docker.com/r/neomatrix369/dl4j-nlp-cuda)

## Table of contents

- [General](#general)
- [Java/JVM](#javajvm)
- [Courses, Tutorial, Learning resource](#courses-tutorial-learning-resource)
- [Cloud](#cloud)
- [Library, Framework, Models, Tools, Services](#library-framework-models-tools-services)
- [Metaphor detection](#metaphor-detection)
- [Sentiment analysis](#sentiment-analysis)
- [Presentations](#presentations)
- [Notebooks](#notebooks)
- [Unstructured to structured data](#unstructured-to-structured-data)
- [Summarise text](#summarise-text)

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## General

See [General](./general.md)
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## Sentiment analysis

See [Sentiment analysis](./sentiment analysis.md)
See [Sentiment analysis](./sentiment-analysis.md)

## Presentations

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## Summarise text

- [Understand Text Summarization and create your own summarizer in python](https://towardsdatascience.com/understand-text-summarization-and-create-your-own-summarizer-in-python-b26a9f09fc70)
- [An Introduction to Text Summarization using the TextRank Algorithm (with Python implementation)](https://www.analyticsvidhya.com/blog/2018/11/introduction-text-summarization-textrank-python/)
- [Beyond bag of words: Using PyTextRank to find Phrases and Summarize text](https://medium.com/@aneesha/beyond-bag-of-words-using-pytextrank-to-find-phrases-and-summarize-text-f736fa3773c5)
- [Build a simple text summarisation tool using NLTK](https://medium.com/@wilamelima/build-a-simple-text-summarisation-tool-using-nltk-ff0984fedb4f)
- Summarise Text with TFIDF in Python: [Post 1/2](https://towardsdatascience.com/tfidf-for-piece-of-text-in-python-43feccaa74f8) | [Post 2/2](https://medium.com/@shivangisareen/summarise-text-with-tfidf-in-python-bc7ca10d3284)
- [How to Make a Text Summarizer - Intro to Deep Learning #10 by Siraj Raval](https://www.youtube.com/watch?v=ogrJaOIuBx4)
See [Summarise text](./summarise-text.md)

# Contributing

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# Summarise text

- [Understand Text Summarization and create your own summarizer in python](https://towardsdatascience.com/understand-text-summarization-and-create-your-own-summarizer-in-python-b26a9f09fc70)
- [An Introduction to Text Summarization using the TextRank Algorithm (with Python implementation)](https://www.analyticsvidhya.com/blog/2018/11/introduction-text-summarization-textrank-python/)
- [Beyond bag of words: Using PyTextRank to find Phrases and Summarize text](https://medium.com/@aneesha/beyond-bag-of-words-using-pytextrank-to-find-phrases-and-summarize-text-f736fa3773c5)
- [Build a simple text summarisation tool using NLTK](https://medium.com/@wilamelima/build-a-simple-text-summarisation-tool-using-nltk-ff0984fedb4f)
- Summarise Text with TFIDF in Python: [Post 1/2](https://towardsdatascience.com/tfidf-for-piece-of-text-in-python-43feccaa74f8) | [Post 2/2](https://medium.com/@shivangisareen/summarise-text-with-tfidf-in-python-bc7ca10d3284)
- [How to Make a Text Summarizer - Intro to Deep Learning #10 by Siraj Raval](https://www.youtube.com/watch?v=ogrJaOIuBx4)


# Contributing

Contributions are very welcome, please share back with the wider community (and get credited for it)!

Please have a look at the [CONTRIBUTING](../CONTRIBUTING.md) guidelines, also have a read about our [licensing](../LICENSE.md) policy.

---

Back to [NLP page (table of contents)](README.md)</br>
Back to [main page (table of contents)](../README.md)

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