Hi, Graph compare with human manual read rates. Regards Yasara.
On Fri, Jan 22, 2016 at 4:26 PM, Yasara Dissanayake <yas...@wso2.com> wrote: > Hi Yudhanjaya, > This the sentiment results[1][2] for above articles using following > sentimental algorithms > > 1. Using Naive Bayes Algorithm > 2. Standard sentimental analysis: Using positive negative word bucket > 3. Afinn sentimental analysis: Using positive negative value for each > word > 4. Stanford NLP in 3 forms > > *Stanford Sentiment Method A:Predict each sentence positivity , negativity > and getting summation.** And for score use deducting 2 from originally > return sentiment score from library* > > Score for each sentence=-2: "Very Negative" > > Score for each sentence=-1: "Negative" > > Score for each sentence=0: "Neutral" > > Score for each sentence=1: "Positive" > > Score for each sentence=2: "Very Positive" > > *Stanford Sentiment Method B:Use main sentiment as longest sentence.And took > Rank as longest_sentence_score*length_of_longest_sentence* > > *Stanford Sentiment Method C: **Predict each sentence positivity , > negativity and getting summation. And for score use originally return > sentiment score from library* > Score for each sentence=0: "Very Negative" > Score for each sentence=1:"Negative" > Score for each sentence=2:"Neutral" > Score for each sentence=3:"Positive" > Score for each sentence=4: "Very Positive" > > Regards, > > Yasara. > > > >
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