Difference between revisions of "Natural Language Processing (NLP)"

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(NLP Pipeline)
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== Part-of-Speech (POS) Tagging ==
 
== Part-of-Speech (POS) Tagging ==
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<youtube>VrT3TRDDE4M</youtube>
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== Chunking ==
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<youtube>VrT3TRDDE4M</youtube>
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== Named Entity Recognition (NER) ==
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<youtube>VrT3TRDDE4M</youtube>
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== Coreference ==
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<youtube>VrT3TRDDE4M</youtube>
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== Semantic Role Labeling ==
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<youtube>VrT3TRDDE4M</youtube>
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== Wikifier ==
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<youtube>VrT3TRDDE4M</youtube>
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== Hierarchical Dataless Classifier ==
  
 
<youtube>VrT3TRDDE4M</youtube>
 
<youtube>VrT3TRDDE4M</youtube>

Revision as of 09:33, 22 September 2018

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Speech recognition, speech translation, understanding complete sentences, understanding synonyms of matching words, sentiment analysis, and writing complete grammatically correct sentences and paragraphs.

Regular Expressions (Regex)

Search for text patterns, validate emails and URLs, capture information, and use patterns to save development time.

Tokenization

Stemming

Part-of-Speech (POS) Tagging

Chunking

Named Entity Recognition (NER)

Coreference

Semantic Role Labeling

Wikifier

Hierarchical Dataless Classifier

Lemmatization

Evaluation Matrics

Confusion Matrix, Precision, Recall, F Score, ROC Curves, trade off between True Positive Rate and False Positive Rate.

Topic Modeling

Word Embeddings

Deep Learning Algorithms

NLP Pipeline