Semanlink - Artificial Intelligence ; Programming AND Semanlink related

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Artificial Intelligence ; Programming AND Semanlink related

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RAKE

20 Documents

20,000 Roam Tags with Spacy

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2020-05-15 About

Blackstone Concept Extractor — ICLR&D

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2019-08-21 About

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2019-02-09 About

Jeremy Howard on Twitter: "Such a ridiculously simple idea couldn't possibly work, could it? Or... could it? "

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2019-02-09 About

Key topics extraction and contextual sentiment of users’ reviews

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2018-09-18 About

Tutorial on Poincaré Embeddings (Jupyter Notebook )

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2018-05-20 About

Implementing Poincaré Embeddings | RARE Technologies

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2018-05-20 About

gensim: models.phrases – Phrase (collocation) detection

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2017-07-10 About

Salmon Run: Implementing the RAKE Algorithm with NLTK

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2017-06-26 About

RAKE: A python implementation of the Rapid Automatic Keyword Extraction

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2017-06-26 About

Intro to Automatic Keyphrase Extraction

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2017-06-14 About

Automated Keyword Extraction – TF-IDF, RAKE, and TextRank (Less Than Dot - Blog)

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2017-06-13 About

Text Summarization with Gensim

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2017-06-02 About

NLP keyword extraction tutorial with RAKE and Maui

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2 tools:

- simple keyword extraction with a Python library (RAKE)
- Java tool (Maui) that uses a machine-learning technique.

Focus on 2 tasks:

- Extracting the most significant words and phrases that appear in given text
- Identifying a set of topics from a predefined vocabulary that match a given text

Typical steps:

- Candidate selection (extract all possible words, phrases, terms or concepts that can potentially be keywords).
- Properties calculation (for each candidate, properties that indicate that it may be a keyword)
- Scoring and selecting keywords

RAKE: finding multi-word phrases containing frequent words. +: simplicity, ease of use -: limited accuracy, parameter configuration requirement, throws away many valid phrases, doesn’t normalize candidates (no stemming).

Maui: ("Multi-purpose automatic topic indexing"). Based on [Weka](/semanlink/tag/weka) (GPL, java, maven, github). Compared to RAKE:

- Extract keywords not just from text, but also with a reference to a controlled vocabulary
- Improve the accuracy by training Maui on manually chosen keywords
    - but requires a training model.

Maui can use a controlled vocabulary expressed in SKOS - so I could use it in semanlink!

2017-05-24 About

An Efficient Way to Extract the Main Topics from a Sentence | The Tokenizer

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2017-05-24 About

Thesaurus-augmented Search with Jena Text | ZBW Labs

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2013-08-12 About

tkurz/skosjs · GitHub

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2012-07-10 About

Applications Built on Jena - Tom Heath's Displacement Activities - by tomheath

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2007-08-22 About

chillyinside.com » Blog Archive » 2006 Jena User Conference

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2006-05-26 About

Jena User Conference - some interesting UI related papers/presentations from Shabajee, Paul on 2006-05-17 (public-semweb-ui@w3.org from May 2006)

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2006-05-25 About