Sentiment analysis using machine learning and other java jar files
In this project we evaluate the new raw tweet and we predict the emotion based on the data set we have prepared.
The file we used for giving the class label using StentiStrength jar file. you can know about it here.
We have differnet methods in this code, they are listed below.
- clean_tweet
- storetocsv
- checkscore
- lemmtext
- deemojify
- removestuff
- final_save
- gather_data
In this module by using regular expressions we remove different non-significant data like mentios and emoticons and other data. We also clean by using basic preprocessing by the given prepocessor module
pip install tweet-preprocessor
clean_tweet(given tweet)
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
Please make sure to update tests as appropriate.
Venkata Sai Pavan M , you can contact me here LinkedIN
if you liked the code , you can drop me a like in LinkedIN.
my mail id: mvspavan001@gmail.com