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Custom Text Classification
A lot of the times, the biggest hindrance to use Machine learning is the unavailability of a data-set. There are many people who want to use AI for categorizing data but that needs making a data-set giving rise to a situation similar to a chicken-egg problem. We have built this classifier for text classification which relies on Zero-Shot learning technique called as Custom Classifier. Our base model is trained on a large news corpus of 10 million news articles to discover relationships between sentences and their categories. The resulting model can then generalize on new, unseen categories as well not available in training data.
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ParallelDots Website Summary:
Text Analysis APIs Visual Intelligence APIs Hello this is a wromg email This classifier tells whether the underlying intention behind a sentence is opinion, news, marketing, complaint, suggestion, appreciation, and query. [...] Intent Analysis goes a level deeper than sentiment analysis and gives an idea of whether a string of text is a complaint, a suggestion or a query.Gauging the intent of messages on social media opens a lot of new possibilities. [...] Sentiment Analysis is contextual mining of text which identifies and extracts subjective information in source material.