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Sentiment-Analysis-Dataset.zip

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The Twitter Sentiment Analysis Dataset contains 1,578,627 classified tweets, each row is marked as 1 for positive sentiment and 0 for negative sentiment. I recommend using 1/10 of the corpus for testing your algorithm, while the rest can be dedicated towards training whatever algorithm you are using to classify sentiment. I tried using this dataset with a very simple Naive Bayesian classification algorithm and the result were 75% accuracy, given that a guess work approach over time will achieve an accuracy of 50% , a simple approach could give you 50% better performance than guess work essentially, not so great, but given that generally (and particularly when it comes to social communication sentiment classification) 10% of sentiment classification by humans can be debated, the maximum relative accuracy any algorithm analysing over-all sentiment of a text can hope to achieve is 90%, this is not a bad starting point Read more↗

Size53.81MB
Content typeapplication/zip
Updated6 years ago
Checked1 week ago
Hostthinknook.com
Keywordssentiment analysis dataset zip
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Get it on Google PlaySentiment-Analysis-Dataset.zip is an archive that contains one or many compressed files to be extracted after download. The download size as indicated by the server is 53.81MB (56427677 bytes). The host server on thinknook.com has returned application/zip as the content type of the download which was updated on 09/22/2012 and was last checked by Webeaver.com crawlers on 12/03/2018. You may use one or more of the following keywords [sentiment analysis dataset zip] to search for other files related to the one you are about to download.

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