![]() Perhaps everything was fantastic during their visit, apart from the dessert. Perhaps the review is considered positive overall, but this doesn’t take into account any minor gripes the author may have had with different aspects of their experience. ABSA is quickly becoming a key tool in the quest for optimal customer experience among customer-centric organizations.įor example, an online review of a restaurant may mention several aspects such as staff, location, ambiance, food, drinks, dessert, value and so on. ABSA is already being used by many of our Text Analysis API users to develop or improve their existing Voice of the Customer programs and processes, enabling them to better understand precisely where they are performing well, or not so well, in their service offerings. While Document-Level Sentiment Analysis will assign positive or negative polarity to a piece of text as a whole, ABSA goes a step further by extracting industry-specific aspects mentioned within the text while analyzing the sentiment for each individually. It analyzes a document, review or social media post and tells us whether or not the author has written it in a positive, negative or neutral manner. Simply put, Sentiment Analysis is used to detect positive or negative polarity in text. If you’re familiar with our API and/or RapidMiner extension you may have come across, or used, our Sentiment Analysis endpoint. So what’s so exciting about Aspect-Based Sentiment Analysis? For compatibilty and upgrade issues please refer to the section at the end of this post.Įxtract industry-specific aspects mentioned in documents, social media posts, reviews and documents and analyze the sentiment polarity for each individual aspect Recently updated your RapidMiner studio version? No worries, we have you covered! Our latest extension update is fully compatible with RapidMiner Studio versions 5.x up to the soon-to-be-released version 7.2. We’ve also put together a getting started guide to help you get up and running in no time. If you have yet to download the Text Analysis extension you can do so here. ABSA extracts industry-specific aspects mentioned in documents, social media posts, reviews and documents and analyzes the sentiment polarity for each individually.Įxisting users will need to update their “Text Analysis by AYLIEN” extension to the latest version to take advantage of this new feature. Today we are thrilled to announce the addition of Aspect-Based Sentiment Analysis (ABSA) to our RapidMiner extension. The Text Analysis by AYLIEN extension was warmly received by RapidMiner users and we’re already closing in on 15,000 extension downloads. AugAspect-Based Sentiment Analysis is now available in our Text Analysis extension for RapidMinerīack in October of last year we brought the power of our Text Analysis API to the RapidMiner Marketplace.
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