nlpsentiment-analysis

What are the most challenging issues in Sentiment Analysis(opinion mining)?


Opinion Mining/Sentiment Analysis is a somewhat recent subtask of Natural Language processing.Some compare it to text classification,some take a more deep stance towards it. What do you think about the most challenging issues in Sentiment Analysis(opinion mining)? Can you name a few?


Solution

  • The key challenges for sentiment analysis are:-

    1) Named Entity Recognition - What is the person actually talking about, e.g. is 300 Spartans a group of Greeks or a movie?

    2) Anaphora Resolution - the problem of resolving what a pronoun, or a noun phrase refers to. "We watched the movie and went to dinner; it was awful." What does "It" refer to?

    3) Parsing - What is the subject and object of the sentence, which one does the verb and/or adjective actually refer to?

    4) Sarcasm - If you don't know the author you have no idea whether 'bad' means bad or good.

    5) Twitter - abbreviations, lack of capitals, poor spelling, poor punctuation, poor grammar, ...