Welcome to PyDataMCR Episode 12, This episode is all about Natural Language Processing, specifically Sentiment Analysis. Listen for our take on the approach to the complexity of text data, how we prepare the data, and the tools we can use to tease out sentiment.
Sponsors
LadBible - ladbible.com/
Cathcart Associates - cathcartassociates.com/
Horsefly Analytics - horseflyanalytics.com/
Resources
Tutorials
Natural Language Processing
https://www.kaggle.com/learn/natural-language-processing
Word embeddings for sentiment analysis https://towardsdatascience.com/word-embeddings-for-sentiment-analysis-65f42ea5d26e
Sentiment Analysis in R
https://www.kaggle.com/rtatman/tutorial-sentiment-analysis-in-r
Tools
NLTK - https://www.nltk.org/
SpaCy - https://spacy.io/
TextBlob - https://textblob.readthedocs.io/en/dev/
VADER - https://github.com/cjhutto/vaderSentiment
Google Natural Language API - https://cloud.google.com/natural-language
Azure Text Analytics API https://azure.microsoft.com/en-gb/services/cognitive-services/text-analytics/
Social
Meetup - meetup.com/PyData-Manchester/
Slack - http://bit.ly/35KGOgR
Twitter - @PyDataMCR
