Spacy

Spacy
- Python for Integrated Circuits -
- An Online Book -

Python for Integrated Circuits http://www.globalsino.com/ICs/

Chapter/Index: Introduction | A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z | Appendix

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SpaCy is aimed at making deep learning for text data analysis as simple as possible. The steps used in extracting keywords from a text with spacy are:
          i) Split the input text content by tokens.
          ii) Extract the hot words from the token list.
          iii) Find the most common T number of hot words from the list.
          iv) Print the results.
          v) Python implementation of keyword extraction using Spacy.

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Find the best word similarity with Word2Vec Models/word embeddings: code:
          Find the best similarity with Word2Vec Models/word embeddings


Input (csv file):

Output:

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