SAS Visual Text Analytics is a text analytics platform. It provides a flexible environment that supports the entire analytics life cycle – from data preparation, to discovering analytic insights, to putting models into production.
Data preparation & visualization: Accesses, integrates, profiles, cleanses and transforms data. Imports text from more than 35 data connectors. Includes self-service data visualization for exploring and understanding text data.
Parsing: Separates text into words, phrases, punctuation marks and other elements of meaning to provide the human framework a machine needs to analyze text at scale.
Trend analysis: Uses unsupervised machine learning to group documents based on common themes.
Information extraction: Pulls out specific pieces of information or relationships between information from text using a powerful, flexible and scalable SAS proprietary programming language called language interpretation for textual information (LITI).
Sentiment analysis: Identifies subjective information in text; labels it as positive, negative or neutral; associates that information with an entity; and provides a visual depiction through a sentiment indicator display.
Native support for 33 languages: Provides out-of-the-box NLP functionality to enable native language analysis using dictionaries and linguistic assets.
Language Coverage
Arabic
,
Chinese
,
Croatian
,
Czech
,
Danish
,
Dutch; Flemish
,
English
,
Persian
,
Finnish
,
French
,
German
,
Modern Greek (1453-)
,
Hebrew
,
Hindi
,
Hungarian
,
Indonesian
,
Italian
,
Japanese
,
Kazakh
,
Korean
,
Norwegian
,
Polish
,
Portuguese
,
Romanian; Moldavian; Moldovan
,
Russian
,
Slovak
,
Slovenian
,
Spanish; Castilian
,
Swedish
,
Tagalog
,
Turkish
,
Thai
,
Vietnamese
