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Episode 12 - Sentiment Analysis and NLP

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Manage episode 254505247 series 2476678
Content provided by Joseph Allen. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Joseph Allen or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

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

  continue reading

19 episodes

Artwork

Episode 12 - Sentiment Analysis and NLP

PyDataMCR

0-10 subscribers

published

iconShare
 
Manage episode 254505247 series 2476678
Content provided by Joseph Allen. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Joseph Allen or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

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

  continue reading

19 episodes

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