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Lemmatization to enhance Topic Modeling results

Lemmatization to enhance Topic Modeling results

Jun 15, 2017 | Chatbots, Lemmatization, NLP, Synthetic data, text analysis

Have you ever wondered how much data do you store in your devices every day? We spend our days looking for information— no matter if it’s for business purposes or personal ones— and creating documents. How many files can we collect after one year? Now think about it...
How to make your chatbot more human-like

How to make your chatbot more human-like

May 18, 2017 | Chatbots, conversational, Core NLP for AI engines, Generative AI, NLP, Stemming, Synthetic data, text analysis

Chatbot’s potential is nothing new, and here at Bitext we have been talking about them for a while. We emphasize the importance of Natural Language Processing to overcome the current limitations users and developers of bots are facing when trying to create human-like...
Differences between Polarity and Topic-Based Sentiment Analysis

Differences between Polarity and Topic-Based Sentiment Analysis

Aug 8, 2016 | Chatbots, NLP, Synthetic data, text analysis

From a business perspective, there is a huge difference between plain polarity and topic-based sentiment analysis (also known as aspect-based sentiment analysis) Polarity analysis takes into account the amount of positive or negative terms that appear in a given...
Automatic IAB tagging enables now semantic ad targeting

Automatic IAB tagging enables now semantic ad targeting

Aug 8, 2016 | AI, Chatbots, Lemmatization, NLP, semantic, Synthetic data

Our Text Classification API supports IAB’s standard contextual taxonomy, enabling content tagging in compliance with this model in large volumes and with great speed, and easing the participation in the new online advertising ecosystem. The result is the impression of...
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Recent Posts

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  • Bitext Linguistic Analyzer beats every Elasticsearch Configuration on German Search Quality
  • Stemming kills AI Accuracy: Why German Search Needs Lemmatization
  • Some of your RAG-related issues have an easy & quick solution: decompounding

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