Download our Python script to create your morphological analyzer.
A guide to better understand the analysis of customer reviews.
Solving chatbot issues using linguistics.
Insight on how to have a coding plan done from scratch.
How can you achieve accuracy while analyzing short text?
Download our guide that provides you with valuable examples about this topic
Our unique approach that allows us to get 90% accuracy.
See how the use of lemmas and stems can help your users.
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Improve your chatbot by using linguistics.
A complete guide with 10 simple steps to get started with our CX platform.
Download some of the Python scripts our computational linguists use to handle large datasets.
Check out how we improved Amazon Lex accuracy by 50% using our training data
Increase accuracy on the LUIS platform up to 40% using Bitext training data
A benchmark based on Dialogflow shows accuracy increases of up to 40%
This report compares Bitext’s entity extraction software to 3 other engines (CRFSuite, Stanford and SENNA)
A brief comparison of stemmers and lemmatizers
Deploying a bot capable to engage in successful conversations for retail.
Learn how Movistar saved 75% using Bitext services.
Learn how a market research leader achieved 65% savings using Bitext.
Download the Case Study about our work with TechCrunch.
Market research leader saves 65% of its time when looking for insights.
Discover how one of our customers began saving time and money.