Keenious is an AI-based tool that allows you to search for similar or related articles based on either an article or written text. The AI analyses the downloaded article, a link to the article, a selected passage from the article or a written text and recommends similar or related content. Keenious runs in either a web browser or Word application and is licensed to the University of Helsinki until the end of August 2023. A continuation will be considered if the application gets enough users.
Keenious can currently only analyse texts in English, but one can use texts in almost 100 different languages (including Finnish). Keenious uses a translation program called Microsoft Azure, where the text is translated to English and then analyzed. Although some of the terms or nuances may be translated a bit off, the context of the text is well captured which matters most to the analysis and consequently search results. Note, however, that there is no length limit for English texts, while for non-English texts the maximum length is 20 000 characters.
Keenious application works for all disciplines.
Its data comes from OpenAlex, which contains a very large amount (~hundreds of millions) of metadata (but not full texts) of both open and non-open access journal articles.Book articles will be included later on. OpenAlex includes material predominantly in English.
Keenious is a very versatile tool for mapping research. Unlike most common information retrieval methods, it is not based on inventing keywords, but on analysing the text you already know or the text you write yourself and based on this analysis by AI. Thus, Keenious is useful at least for the following purposes:
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