Natural Language Processing and Computational Linguistics > PACKT 원서리스트

Table of Contents

1: WHAT IS TEXT ANALYSIS?
2: PYTHON TIPS FOR TEXT ANALYSIS
3: SPACY'S LANGUAGE MODELS
4: GENSIM – VECTORIZING TEXT AND TRANSFORMATIONS AND N-GRAMS
5: POS-TAGGING AND ITS APPLICATIONS
6: NER-TAGGING AND ITS APPLICATIONS
7: DEPENDENCY PARSING
8: TOPIC MODELS
9: ADVANCED TOPIC MODELING
10: CLUSTERING AND CLASSIFYING TEXT
11: SIMILARITY QUERIES AND SUMMARIZATION
12: WORD2VEC, DOC2VEC, AND GENSIM
13: DEEP LEARNING FOR TEXT
14: KERAS AND SPACY FOR DEEP LEARNING
15: SENTIMENT ANALYSIS AND CHATBOTS