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Episode 12 - Sentiment Analysis and NLP

PyDataMCR

English - February 25, 2020 22:45 - 47 minutes - 43.5 MB - ★★★★★ - 1 rating
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Previous Episode: Episode 11 - A Year in Review
Next Episode: Episode 13 - The Joys of Open Data

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