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Why does the sentiment analysis classified a negative text as positive?
I run some sentiment analysis but it gave me wrong analysis in the sense that a text that supposes to be negative was classified as positive. What accounts for this misinterpretation and what can be done to rectify it. Again how does the sentiment analysis from Aylien classified a text to be negative, positive and neutral?
0
Answers
I don't know what are the algorithm(s) behind Aylien. Aylien is a 3th part extension, I think that, if you want more information about how this extension works, you will need to contact Aylien directly.
For your problem, have you tried other methods like :
1. In RapidMiner :
- Extract Sentiment operator from the Toolbox extension (to install from the MarketPlace)
2. Python libraries :
- TextBlob
- NLTK (Natural Language ToolKit)
Hope this helps,
Reagrds,
Lionel
Lindon Ventures
Data Science Consulting from Certified RapidMiner Experts