Sentiment Analysis using Machine Learning
I am doing Sentiment Analysis of Twitter data and I want to use Machine Learning Algorithm to generate the Sentiments or the polarity of the tweets instead of using the Aylien Analyze Sentiment Operator to yield the same.
1)I have, hence, added a "Sentiment" column in the excel file where I've stored the data after fetching it from Twitter. But this column is automatically getting removed after I use the Process Documents from Data operator. I can't understand why.
2) I can't understand how to analyse the sentiment using any Machine Learning Algorithm after the pre processing of data.
Please the find the .rmp process and the dataset attached below. Can anyone please help me find a solution to my problem?
Urgent help is needed.
1)I have, hence, added a "Sentiment" column in the excel file where I've stored the data after fetching it from Twitter. But this column is automatically getting removed after I use the Process Documents from Data operator. I can't understand why.
2) I can't understand how to analyse the sentiment using any Machine Learning Algorithm after the pre processing of data.
Please the find the .rmp process and the dataset attached below. Can anyone please help me find a solution to my problem?
Urgent help is needed.Find more posts tagged with
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@Cohen3N can you help me with the TF_IDF approach? how do I compare the words in my tweets to the words of the entire corpus??