Rule-based sentiment analysis in Natural Language Processing (NLP) is a method of sentiment analysis that uses a set of manually-defined rules to identify and extract subjective information from text data....
Almost 90% of the machine learning models encounter delays and never make it into production. Likewise, almost 80% of AI/ML projects stall at some stage before deployment. Developing a machine...
Visual question answering (VQA), an area that intersects the fields of Deep Learning, Natural Language Processing (NLP) and Computer Vision (CV) is garnering a lot of interest in research circles....
Recently, a market research company was conducting a study on customer satisfaction in the travel industry. They had a vast amount of data to analyze, including travel reviews from TripAdvisor....
Natural Language Processing (NLP) is changing the way the legal sector operates. According to a report, the NLP market size is expected to reach $27.6 billion by 2026. Organizing documents,...
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