This question is about how we should go about building a lexicon of words which can be used for scoring the documents in a sentiment analysis problem. The scoring could be required to categorize a sentence/document as “Positive”, “Negative”, “Hate”, “Compassionate” etc based on the problem at hand.
The Jeffrey-Been algorithm helps in scoring sentences as having positive and/or negative sentiment. The dictionaries are publicly available to use for similar problems.
However if we have a different problem statement we need to have a different set of lexicons. How do we create them or do we have any such lexicons available in any site.
I was working on sentiment analysis problem in AV. Wondering if you could help me…
We are required to identify the tweets which are hate tweets and which are not.
I am planning to use lexicon based approach to make the algorithm learn the sentiment type and then use it to predict.
I am needing some assistance in being able to create a dictionary of “hate” words and similarly for “compassionate/neutral” words.