what's sentiment analysis methodology
* Discuss sentimental analysis.
* Describe the Python download and installation process.
* Define polarity and subjectivity.
* Explain the use of textBlobs.
* Contrast lemmatization to tokenization
* Discuss the POS Tag language.
* Explain Bigrams, Trigrams and Ngrams.
* List the various Anaconda applications.
* Summarize capitalizations, pluralizations and singularizations.
* Outline loops in Ngrams.
* Describe TextBlob classification.
* Relate data frame to the classification of sentiments.

[https://alison.com/topic/learn/129326/sentimental-analysis-methodology-learning-outcomes](https://alison.com/topic/learn/129326/sentimental-analysis-methodology-learning-outcomes)