{"action":"created","issue":{"url":"https://api.github.com/repos/RaRe-Technologies/gensim/issues/1085","repository_url":"https://api.github.com/repos/RaRe-Technologies/gensim","labels_url":"https://api.github.com/repos/RaRe-Technologies/gensim/issues/1085/labels{/name}","comments_url":"https://api.github.com/repos/RaRe-Technologies/gensim/issues/1085/comments","events_url":"https://api.github.com/repos/RaRe-Technologies/gensim/issues/1085/events","html_url":"https://github.com/RaRe-Technologies/gensim/issues/1085","id":199729461,"number":1085,"title":"Suggesting Replacement of TextRank.","user":{"login":"metalaman","id":8245954,"avatar_url":"https://avatars.githubusercontent.com/u/8245954?v=3","gravatar_id":"","url":"https://api.github.com/users/metalaman","html_url":"https://github.com/metalaman","followers_url":"https://api.github.com/users/metalaman/followers","following_url":"https://api.github.com/users/metalaman/following{/other_user}","gists_url":"https://api.github.com/users/metalaman/gists{/gist_id}","starred_url":"https://api.github.com/users/metalaman/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/metalaman/subscriptions","organizations_url":"https://api.github.com/users/metalaman/orgs","repos_url":"https://api.github.com/users/metalaman/repos","events_url":"https://api.github.com/users/metalaman/events{/privacy}","received_events_url":"https://api.github.com/users/metalaman/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":3,"created_at":"2017-01-10T04:19:52Z","updated_at":"2017-01-10T14:23:47Z","closed_at":null,"body":"I, along with @dust0x and @pranay360, am writing a blog on Extractive Vs. Abstractive Text Summarization for RaRe Technologies. \r\nWhile comparing different extractive models, we found that Sumy's Lex_Rank not only performs better than Gensim's Text Rank, but is also faster.\r\nSummarization was performed on Opiniosis dataset(51 articles with 5 gold summaries each) and models were compared using ROUGE-1 score. \r\nROUGE-2 score for Lex_Rank(0.054) was better than Gensim's Text Rank(0.034). \r\nSumy's Lex_Rank also seems to perform faster:\r\n`1 loop, best of 3: 41.2 s per loop`\r\nGensim's Text Rank:\r\n`1 loop, best of 3: 57.7 s per loop`\r\nLink to the draft of the blog is [here](https://docs.google.com/document/d/1RO1-hlnSkrBbL-ks-O6Xr4ZfWK92vfo-xFicp5Gb0Qc/edit#)\r\nExample of summaries generated are in the blog. We suggest replacing the BM25 ranking function with Lex_Rank's idf-modified-cosine distance. "},"comment":{"url":"https://api.github.com/repos/RaRe-Technologies/gensim/issues/comments/271587772","html_url":"https://github.com/RaRe-Technologies/gensim/issues/1085#issuecomment-271587772","issue_url":"https://api.github.com/repos/RaRe-Technologies/gensim/issues/1085","id":271587772,"user":{"login":"dust0x","id":6918743,"avatar_url":"https://avatars.githubusercontent.com/u/6918743?v=3","gravatar_id":"","url":"https://api.github.com/users/dust0x","html_url":"https://github.com/dust0x","followers_url":"https://api.github.com/users/dust0x/followers","following_url":"https://api.github.com/users/dust0x/following{/other_user}","gists_url":"https://api.github.com/users/dust0x/gists{/gist_id}","starred_url":"https://api.github.com/users/dust0x/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/dust0x/subscriptions","organizations_url":"https://api.github.com/users/dust0x/orgs","repos_url":"https://api.github.com/users/dust0x/repos","events_url":"https://api.github.com/users/dust0x/events{/privacy}","received_events_url":"https://api.github.com/users/dust0x/received_events","type":"User","site_admin":false},"created_at":"2017-01-10T14:23:47Z","updated_at":"2017-01-10T14:23:47Z","body":"Perhaps we could have LexRank as an option in addition to TextRank like [Sumy](https://github.com/miso-belica/sumy/) does."}}
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