![]() There are three installation alternatives. YAKE! is available online, on Google Play, as an open source Python package and as an API. This can be beneficial for a large number of tasks and a plethora of situations where the access to training corpora is either limited or restricted. Instead, it follows an unsupervised approach which builds upon features extracted from the text, making it thus applicable to documents written in different languages without the need for further knowledge. Unlike other approaches, Yake! does not rely on dictionaries nor thesauri, neither is trained against any corpora. Yake! is a novel feature-based system for multi-lingual keyword extraction, which supports texts of different sizes, domain or languages. Despite the advances, there is a clear lack of multilingual online tools to automatically extract keywords from single documents. ![]() The need to automate this task so that texts can be processed in a timely and adequate manner has led to the emergence of automatic keyword extraction tools. RationaleĮxtracting keywords from texts has become a challenge for individuals and organizations as the information grows in complexity and size. Main Featuresįor Benchmark results check out our paper published on Information Science Journal (see the references section). In addition to the python package here described, we also make available a demo, an API and a mobile app. Experimental results carried out on top of twenty datasets (see Benchmark section below) show that our methods significantly outperform state-of-the-art methods under a number of collections of different sizes, languages or domains. To demonstrate the merits and the significance of our proposal, we compare it against ten state-of-the-art unsupervised approaches (TF.IDF, KP-Miner, RAKE, TextRank, SingleRank, ExpandRank, TopicRank, TopicalPageRank, PositionRank and MultipartiteRank), and one supervised method (KEA). Our system does not need to be trained on a particular set of documents, neither it depends on dictionaries, external-corpus, size of the text, language or domain. YAKE! is a light-weight unsupervised automatic keyword extraction method which rests on text statistical features extracted from single documents to select the most important keywords of a text. Unsupervised Approach for Automatic Keyword Extraction using Text Features.
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