1 Table of Contents: “... with the Stanford CoreNLP -- Topic modeling: Measuring scholarly impact using a topical lens -- The substantive...”

2 “... that are transforming the way humans and computers work together. Guided by clear explanations of each core NLP topic...”

3

4 “... explanations of core NLP concepts and how to apply those using Python libraries. Taking this course will help...”

5 “... algorithm for Spark Use the Spark NLP and Stanford CoreNLP libraries that support multiple languages...”

6 Table of Contents: “...Using Stanford Core NLP Capabilities for Semantic Information Extraction from Textual Descriptions...”

7 “.... You will: Apply NLP techniques using Python libraries such as NLTK, TextBlob, spaCy, Stanford CoreNLP...”

8 “.... You will: Apply NLP techniques using Python libraries such as NLTK, TextBlob, soaCy, Stanford CoreNLP...”

9 “... Forest algorithm for Spark Use the Spark NLP and Stanford CoreNLP libraries that support multiple...”

10 “..., debug, and optimize transformer models for core NLP tasks, such as text classification, named entity...”

11 “..., debug, and optimize transformer models for core NLP tasks, such as text classification, named entity...”

12

13 “... processing (NLP), including NLP using Python libraries such as NLTK, textblob, SpaCy, Standford CoreNLP...”

14 Table of Contents: “... the DocumentPreprocessor class; Using the StanfordCoreNLP class; Using LingPipe; Using the IndoEuropeanSentenceModel class...”

15

16 Table of Contents: “..., Stemming, Term Reduction, Topic Modeling, POS Tagging using current frameworks including CoreNLP, NLTK...”

17 “... processing (NLP), including NLP using Python libraries such as NLTK, textblob, SpaCy, Standford CoreNLP...”

18

19 Table of Contents: “... -- Stanford CoreNLP -- Using Spark for Sentiment Analysis -- Summary -- 12. Data Science with Hadoop...”