Bitext in Seth Grimes' Trends Report: "Text Analytics in 2013"

[fa icon="calendar'] Feb 28, 2013 12:00:00 AM / by Bitext posted in Sentiment Analysis, Bitext, Natural Language, Text Analytics

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Seth Grimes, respected analyst of the Text Analytics industry, has just released the latest in his series of Trend Reports on AllAnalytics: Text Analytics in 2013.

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Bitext took part in CeBIT (Hannover)

[fa icon="calendar'] Feb 25, 2013 12:00:00 AM / by Bitext posted in Bitext, Natural Language, Text Analytics

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Bitext took part in CeBIT, the biggest Information Technology event in the world, which took place in Hannover (Germany) from March the 3rd to the 9th.

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Bitext presentation at the NATO NCI Agency TechWatch Day in The Hague

[fa icon="calendar'] Feb 18, 2013 12:00:00 AM / by Bitext posted in Bitext

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Bitext presented at the 2013 NATO Communications and Information Agency Techwatch Day, an event designed to allow NATO scientists, communications professional and analysts to get an overview of the state of the art of technology that could be of interest in a military setting.

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IE (Instituto de Empresa) chooses Bitext as case study for its Executive MBA

[fa icon="calendar'] Feb 12, 2013 12:00:00 AM / by Bitext posted in Bitext

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Press release between IE (Instituto de Empresa) and Bitext:

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New article: Social Media and ROI

[fa icon="calendar'] Feb 7, 2013 12:00:00 AM / by Bitext posted in Bitext

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Bitext's CEO, Antonio Valderrábanos, published in RedesTelecom an article (in Spanish) about Social Media and ROI: "Redes Sociales y retorno de la inversión".

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The Word "Like", Paradise for Marketeers, Hell for Text Analytics

[fa icon="calendar'] Feb 4, 2013 12:00:00 AM / by Bitext posted in Sentiment Analysis, Bitext

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Accurate Opinion Mining requires Deep Linguistic Analysis

Sentiment analysis of the type of language used in social media is HARD. One extremely frequent example is “like”, typically in positive comments like “Although I do like the iPhone I prefer the Galaxy S3”, and often in negative comments, “I didn’t like it that much”. In these cases “like” is a verb we use to express preference.

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