Which one among the following NLP topics will be easier to work with?
- Question answering
- Paraphrase detection
- Short text conversation
- Author identification
Which NLP task is easier to begin with?
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The final one, Author identification. You don't need to have any understanding of the language you are dealing with, which the first three presuppose.
There is already a lot of literature on the topic; generally you identify features in texts, and map these onto a set of authors' known features. This can easily be done with cluster analysis or Machine Learning. So, it's not actually as NLP-heavy as the others.