Slide review of text analytics user perspectives on solution and providers by Seth Grimes:
Text analytics is seeing active market growth. The technology - text mining and related visualization and analytical software - continues to deliver unmatched capabilites fueling growth. There are applications in media and publishing, financial services and insurance, travel and hospitality and consumer products and retail. The slides claim that no single organization or approach dominates the market.The findings reported are :
1) Top business applications of text analysis for respondents are a) brand management, b) competitive intelligence and c) voice of the customer
2) These applications take data from online sources such as blogs, articles, forums,
3) Experienced users of these applications prefer specialized dictionaries, taxonomies, or extraction rules and they often like open source.
Text Analytics describes software and transformational steps that discover business value in "unstructured" text.
These steps are:
Compose, publish, manage and archive
Index and search,
categorize and classify according to metadata and contents
summarize and extract information
Text analytics is seeing active market growth. The technology - text mining and related visualization and analytical software - continues to deliver unmatched capabilites fueling growth. There are applications in media and publishing, financial services and insurance, travel and hospitality and consumer products and retail. The slides claim that no single organization or approach dominates the market.The findings reported are :
1) Top business applications of text analysis for respondents are a) brand management, b) competitive intelligence and c) voice of the customer
2) These applications take data from online sources such as blogs, articles, forums,
3) Experienced users of these applications prefer specialized dictionaries, taxonomies, or extraction rules and they often like open source.
Text Analytics describes software and transformational steps that discover business value in "unstructured" text.
These steps are:
Compose, publish, manage and archive
Index and search,
categorize and classify according to metadata and contents
summarize and extract information
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