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Amazing work chidog12, I've tied using TextRank for text summarization before, but the results are mostly hit or miss. I've found that, elements in the page like "Follow this reader", Share on twiiter, facebook frequently oocur in these articles and due to the voter based ranking of TextRank , they get picked up as high ranked sentences. Which of the algorithms mentioned in your site were most effective in extracting useful summaries?


Sorry for the late reply,

Honestly, we still need more testing.

However, our top 3 tend to usually be Luhn's Heuristic Method, Latent Sentiment Analysis, and TextRank.

On the other hand, we have yet to use a single summary produced solely using SumBasic... I'll need to read into that one more.




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