KnowledgeREADER combines text analysis and visual text discovery with sentiment analysis and predictive analytics to deliver integrated customer intelligence.
Today, 80% of business relevant information originates in unstructured, primarily text, form. This valuable data is buried in social media (blogs, tweets, forum posts) and other voice of the customer (VoC) channels such as call center logs, emails and customer surveys.
KnowledgeREADER brings unparalleled voice of the customer insights to support customer experience management by breaking down silos to merge unstructured with structured data; and sentiment and text analysis with data mining and predictive analytics—for integrated customer intelligence.
Sentiment and text analysis results are automatically generated and presented through a visual dashboard.
Customer intelligence professionals and marketers can easily understand and model customer feedback without relying on data analysts. While advanced users can merge unstructured and structured data to perform data mining and predictive analytics with additional predictive variables for improved accuracy and exploratory power.
KnowledgeREADER includes In-database analytics to perform text analysis, data mining and predictive analytics directly on data stored in a database.
KnowledgeREADER can be deployed either on-premise or on-demand in the Cloud for small teams, short-term or project based initiatives. It is available for use on Windows and Red Hat Linux platforms.
|Dashboard||Visual insight into sentiment distribution and sentiment across top entities, themes and topics|
|Sentiment Analysis||Comparison and trend analysis to visually track sentiment over time and detect similarities/ differences in sentiment distribution across data sets|
|Association Discovery||Association Map reveals how terms are used in relation to each other in order to identify context surrounding themes and topics|
|Document Exploration||Document drill-down and sentiment markup of terms of interest|
|Natural Language Processing||Sentiment analysis, classification and entity and theme extraction with multiple language support by the embedded best-in-class Salience Engine from Lexalytics®|
|In-Database Analytics||Includes In-database analytics and supports data and file import from Database, Excel, CSV, HTML, Word, PDF and Outlook PST files|
|Predictive Analytics||Merge the output of text analytics with structured data to perform data mining and predictive modeling with Angoss best-in-class Decision Trees and Strategy Trees|