Sentiment Analyisis of Resource Scarce Languages
Sentiment Analysis is a NLP technique which is used to determine the emotion in a text. It determines whether the text is in a positive, negative or neutral sense. This is possible for languages that have an abundant amount of resources but the question arises when the language's resources are scarce. In this session we will go over how sentiment analysis is done for resource scarce languages and also Azure Text Analytics API and how it works.
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