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Mohammed hmedat - Android developer

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There exists a vast trove of Customer Experience data in the form of product reviews, forum posts, customer service/customer satisfaction surveys and suchlike. This data is often in unstructured form. Companies that own this data would like to summarize these (often vast) data-sets. One of the most common methods of text mining (for lack of a better word), is Topic Modeling. Given a large corpus of text, a topic model can assign a probabilistic score for each document-topic pair. This paper explore the capabilities of topic mining , and suggests areas where the tool is a good fit, as well as situations where topic mining may be unsuitable.

Utility of topic extraction on customer experience data

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Utility of topic extraction on customer experience data

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