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...
“Artificial Intelligence has arrived to stay!” You may have heard this over the past years several times, and it’s right. However, we are not talking about a Hollywood science-fiction movie. We are referring to Machine and Deep Learning. The difference between...
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...
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