Clarabridge to offer online self service capability

Clarabridge, a specialist in text mining software for customer experience management, has announced the beta launch of Clarabridge Self Service.
 
The offering is a new product version designed to enable smaller organisations, departments, and/or market research firms to upload and analyse their text-based emails, survey open-end verbatims, transcripts, social media content, and any other textual data sources via a fully self-service online portal.
 
Clarabridge Self Service builds on Clarabridge Enterprise, which focuses on customer experience management and other text analytics initiatives for large enterprises. For a limited time, beta users can analyse up to 10,000 text verbatims free of charge.
 
Clarabridge says any company can now upload its textual data to Clarabridge’s hosted application. For its part, Clarabridge can read, categorise, assign sentiments, and linguistically analyse it “hundreds of times faster than is manually possible”. The offering consists of a wizard that allows users to upload their data into Clarabridge’s secure hosted environment and ensures that both structured and unstructured fields are properly joined together. The online portal helps users gather initial understanding of the linguistic findings of the system: what their text talks about and interesting themes and topics.
 
This new offering automatically organises text into categories, determines multiple levels of positive and negative sentiment, identifies emerging trends, and includes online interactive exploration, reporting, exporting, and root cause analysis features.
 
The offering enables:
 
•         Automatic linguistic “reading” of text and enables ad-hoc searching and filtration;
•         Categorisation of the text at detailed sub-document, sentence, and clause levels;
•         Identification of varying levels of positive and negative sentiments and what they relate to;
•         Analysis of root cause, emerging issues, and trends, and;
•         Capability to drill down to the original text to understand any areas of interest.