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Lexalytics Intention Analysis and new Graphical user interface (GUI) for Semantria
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Lexalytics Intention Analysis and new Graphical user interface (GUI) for Semantria

Lexalytics Intention Analysis and new Graphical user interface (GUI) for Semantria
4.2 (84%) 5 ratings

Lexalytics Intention Analysis and new Graphical user interface (GUI) for Semantria: Lexalytics offer sentiment analysis, multi-level sentiment, automatic theme detection, integrating Wikipedia as a knowledge base, and provides both on-premise (Salience Engine) and SaaS (Semantria) text analytics software, including a Microsoft Excel add-in. Salience 6, is the newest version of Text Analytics engine of Lexalytics. Salience 6 comes loaded with new features like extracting intentions: the ability to use tagged content sets to train your own classification models, and a new underlying technology called the Syntax Matrix. Salience 6, Intention Analysis, reveals a customer's intent to buy, sell, recommend, or quit. Seth Redmore, VP Marketing at Lexalytics, says, "Good computational performance always fights with accuracy in text mining results. Big data is uninteresting if you can't actually process all of it in a timely fashion with useful results. As shown by what we can do with the Syntax Matrix and intention analysis, we can extract rich, actionable features from text and do so quickly and efficiently. This allows our customers to scale their on-premise systems and lets us provide meaningful, cost-effective results through our Semantria SaaS service."

Intention Analysis

Intention analysis extracts the "intent," the "intendee" and the "intended object" from text. For example, if a tweet reads, "Huge sale at the computer store. I'm getting a new phone for sure!" The intent would be "buy", the intendee would be "I", and the intended object would be the "new phone". The Lexalytics approach differs from other approaches to intentions, as Salience tells you everything you need so that you can act immediately to sell more or prevent customer churn. The unique power of Salience's intention analysis comes from Lexalytics' new deep learning Syntax Matrix. The Syntax Matrix is a highly computationally efficient method for understanding the structure of language, based on training across billions of words.

Along with new features like intentions, Salience 6's deep understanding of structure enhances sentiment and other basic functions. For example, this kind of sentence can give many text mining systems fits: "The restaurant was in a great location and the food was good, but the service made the evening a disaster!" The lexical power of the new underpinnings of Salience handles these cases with aplomb. The new machine learning classifiers and enhancements to Lexalytics query grammar lets the customers leverage the work that they've done in tagging content to exactly match their needs. Lexalytics can take that work they've done and build them a custom classification model that works on their hard earned taxonomy.

Lexalytics

Graphical user interface (GUI) for Semantria

Lexalytics introduced wizard and graphical user interface (GUI) for Semantria software-as-a-service (SaaS) platform and Excel plugin. The new wizard, called SWIZ, is part of the Semantria Online Configurator, SWEB 1.3, and solidifies Lexalytics’ position as tunable and configurable text mining technology. In addition to SWIZ, the new version of the Semantria Online Configurator includes layout changes and updated functionality to simplify and speed the process.

Lexalytics Semantria Text Mining Wizard

Lexalytics Semantria Text Mining Wizard

“In order to get the most value out of text and sentiment analysis technologies, customers need to be able to tune the service to match their content and business needs”, said Jeff Catlin, CEO, Lexalytics. “Just like Apple changed the game for consumers with its first Macintosh in 1984, making personal computing easy and fun through an innovative GUI, we want to improve the job of data analysts by making it just as fun, easy, and intuitive with SWIZ. To use the wizard, customers simply input the type of content they are processing (e.g., social media, blogs, news articles, etc.) and what language it is in, and Lexalytics does the rest. Before, our customers had to understand the meaning of things like ‘alpha-numeric content threshold’ and ‘entities confidence threshold’, Jeff continued. “Lexalytics provides the most knobs to turn to get the results exactly as you want them, and now our customers don’t even have to think about them”.

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