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Understanding Sentiment: a new take on chatbot technology

Babar Islam, an employee of Swanbarton, has made a significant contribution to the field of Natural Language Processing (NLP) with his paper "Skillbot: A Conversational Chatbot-based Data Mining and Sentiment Analysis." Presented at the 2022 Human-Centered Cognitive Systems conference in Shanghai, China, the paper proposes a conversational chatbot that uses data mining and sentiment analysis to offer personalised user experiences. The chatbot's ability to understand user queries and respond in a relevant and informative manner is impressive, thanks to the combination of machine learning and data mining techniques. What sets this chatbot apart is its sentiment analysis capability, which enables it to recognise the emotions behind user queries and respond accordingly.

The paper's impact has not gone unnoticed, becoming a topic of discussion in the NLP community. Babar's work offers significant potential for future research in the field of NLP, and his expertise at Swanbarton will undoubtedly lead to even more groundbreaking developments in the future. Congratulations to Babar Islam on this outstanding achievement, and we look forward to seeing what he will accomplish next.

Read the paper at:

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