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Madrid, Spain
11-50 Employees
1998
We are currently developing projects for Pfizer in 30 different countries. The company uses MeaningCloud to analyze unstructured customer feedback in a variety of channels: surveys, panels, interviews, contact center conversations. MeaningCloud categorizes and extracts very deep insights from those contents, and publishes them through an online tool for consumption by Carrefour’s executives and decision making. They have integrated MeaningCloud’s APIs into their new corporate content management system to embed information extraction and content organization and enrichment capabilities. They integrated MeaningCloud APIs to analyze user-generated content to infer their demographic profile and aspect-based sentiment toward specific brands. They used MeaningCloud APIs to categorize according to predefined themes (products, channels), identify brands/products/competitors… and assess the sentiment related to those. MeaningCloud helps you get the information buried under the text. Use MeaningCloud's APIs easily from one of the available integrations, or use your favorite programming language.
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Topics extraction & named entity recognition | MeaningCloud
... Advanced information extraction API that provides named entity recognition and disambiguation, concepts, facts and topics extraction. ...
Named Entity Disambiguation (NED) is the process of automatically detecting and linking entities mentioned in a text to their real-world counterparts. For example, when a sentence mentions the term "Apple", NED will determine whether it is referring to the fruit or to the technology company. NED involves using natural language processing (NLP) techniques to identify each entity, and then using an external knowledge base to link those entities to their real-world counterparts.