Softmax based user attitude detection algorithm for sentimental analysis
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A SoftMax regression based attitude detection algorithm is proposed to identify the user nature of
the user. By finding the nature of the user, reliability of the tweet posted by them can be verified which will in turn
help the data miners to obtain tweets that are trustworthy. The evaluation of the proposed work proves that the
SoftMax regression based algorithm predicts the user attitude with great accuracy. Currently, only the nature of the
user is rendered using SAD algorithm. In future, the work will be extended to effectively detect the user attitudes
over the user views. Also, the proposed algorithm can open new possibilities in identifying the people with
depression, ill intents thereby avoiding the unexpected happenings.
the user. By finding the nature of the user, reliability of the tweet posted by them can be verified which will in turn
help the data miners to obtain tweets that are trustworthy. The evaluation of the proposed work proves that the
SoftMax regression based algorithm predicts the user attitude with great accuracy. Currently, only the nature of the
user is rendered using SAD algorithm. In future, the work will be extended to effectively detect the user attitudes
over the user views. Also, the proposed algorithm can open new possibilities in identifying the people with
depression, ill intents thereby avoiding the unexpected happenings.
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