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At Bitext, we are text analysis experts who specialize in linguistic technology. This gives our technology a unique advantage over other solutions. Bitext is designed to pick up deeper linguistic meaning, so it produces superior analytics results – with over 90% accuracy and precise topic detection.
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Latest News
Why can’t your hotel live without reputation management?
Reputation management is key for every company but barely any other industry is so affected by negative comments and reviews as the hospitality sector. A bad online review is there to stay and it can…
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Second Screen Interaction: Measuring the Success of Offline Campaigns
A recent report from Accenture suggested 87% of people now use a second screen while watching TV to comment not only shows but advertisement.
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Enhance your business performance using surveys
One of the keys to creating a survey that really generates insight into customer needs is creating the right combination of open-ended and closed-ended questions.
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Understand your Customer by using Open Ended Questions
Being a customer-centric company is complex and requires to understand consumer's behavior.That is why companies are using open-ended survey questions. They fuel research activities with rich insights into the “why” behind your audiences’ responses
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Why do I need Semantics if I already have Stars?
Semantics tackles a tedious data-related task: analyzing user reviews related to your business that appear in external sites like Amazon or TripAdvisor.
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Case Study: Customer insights in minutes
Time flies for everyone — particularly while working We always have the sensation of having much to do and not enough time to do it all. That is why it’s necessary to include in our…
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Uncover Business Critical Insights with Topic-based Sentiment Analysis
Last week’s post explored the differences between polarity and topic-based sentiment analysis (have a look here if you missed it). This post goes a step further, drilling down into a real data set to demonstrate…
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Differences between Polarity and Topic-based Sentiment Analysis
From a biz point of view, there is huge difference between plain polarity and topic-based sentiment analysis (also known as aspect-based sentiment analysis) Why is polarity analysis by itself not enough?
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