Define The Nlp Terminology?

1.	Define The Nlp Terminology?
Answer» NLP Terminology is based on the FOLLOWING factors: Weights and Vectors: TF-IDF, length(TF-IDF, doc), Word Vectors, Google Word Vectors TEXT Structure: Part-Of-Speech Tagging, Head of sentence, Named entities Sentiment ANALYSIS: Sentiment Dictionary, Sentiment Entities, Sentiment Features Text Classification: Supervised Learning, Train Set, Dev(=Validation) Set, Test Set, Text Features, LDA. Machine READING: Entity Extraction, Entity LINKING,dbpedia, FRED (lib) / Pikes. NLP Terminology is based on the following factors: Weights and Vectors: TF-IDF, length(TF-IDF, doc), Word Vectors, Google Word Vectors Text Structure: Part-Of-Speech Tagging, Head of sentence, Named entities Sentiment Analysis: Sentiment Dictionary, Sentiment Entities, Sentiment Features Text Classification: Supervised Learning, Train Set, Dev(=Validation) Set, Test Set, Text Features, LDA. Machine Reading: Entity Extraction, Entity Linking,dbpedia, FRED (lib) / Pikes.

Answer»

NLP Terminology is based on the FOLLOWING factors:

Weights and Vectors:

TF-IDF, length(TF-IDF, doc), Word Vectors, Google Word Vectors

TEXT Structure:

Part-Of-Speech Tagging, Head of sentence, Named entities

Sentiment ANALYSIS:

Sentiment Dictionary, Sentiment Entities, Sentiment Features

Text Classification:

Supervised Learning, Train Set, Dev(=Validation) Set, Test Set, Text Features, LDA.

Machine READING:

Entity Extraction, Entity LINKING,dbpedia, FRED (lib) / Pikes.

NLP Terminology is based on the following factors:

Weights and Vectors:

TF-IDF, length(TF-IDF, doc), Word Vectors, Google Word Vectors

Text Structure:

Part-Of-Speech Tagging, Head of sentence, Named entities

Sentiment Analysis:

Sentiment Dictionary, Sentiment Entities, Sentiment Features

Text Classification:

Supervised Learning, Train Set, Dev(=Validation) Set, Test Set, Text Features, LDA.

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