India has the second largest population in the world after China with a fast growing economy. It is no surprise that many software and Internet companies are focusing on this fast growing market. Even though English is one of the official languages, not even 1% of...
Stemming and lemmatization are methods used by search engines and chatbots to analyze the meaning behind a word. Stemming uses the stem of the word, while lemmatization uses the context in which the word is being used. We’ll later go into more detailed...
Almost all of us use a search engine in our daily working routine, it has become a key tool to get our tasks done. However, with each minute the amount of data and resources available grows exponentially, and providing high quality results that match user’s queries...
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...
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...
In some of our recent talks, colleagues have asked us about the Stanford parser and how it compared to Bitext technology (namely at our last workshop on Semantic Analysis of Big Data in San Francisco, and in our presentation in the Semantic Garage also in San...
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