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Sentiment Analysis: Concept, Analysis and Applications by Shashank Gupta

Understanding Sentiment Analysis in Natural Language Processing Sentiment analysis employs various machine learning models, including Naive Bayes, Support Vector Machines (SVM), and Recurrent Neural Networks (RNNs). Additionally, word embeddings, such as Word2Vec or GloVe, capture semantic relationships between words, enhancing sentiment analysis performance. Sentiment analysis helps businesses understand public sentiment towards their brand, products, or …

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How AI-enabled customer support can work for banks

The transformative power of automation in banking The next step in enterprise automation is hyperautomation, one of the top technology trends of 2023. SPONSORED CONTENT PRESENTED BY ALKAMI TECHNOLOGY A digital banking website and mobile app was just the beginning. New tools from ABA aim to help banks educate consumers on the home-buying process. It …

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Conversational AI: making technology more human, by Accenture

COSMIC: A Conversational Interface for Human-AI Music Co-Creation Considering both accessibility and usability as crucial elements that contribute to a positive user experience is important, as neglecting either aspect significantly diminishes the overall quality of the other. Since launch, the number of chatbots on Messenger has multiplied exponentially. In June 2016, there were 11,000 available …

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Insurance Chatbot & Conversational AI Solutions

What Is an Insurance Chatbot? +Use Cases, Examples Another point to consider is whether your medical chatbot will be integrated with existing software systems and applications like EHR, telemedicine platform, etc. Using these safeguards, the HIPAA regulation requires that chatbot developers incorporate these models in a HIPAA-complaint environment. This requires that the AI conversations, entities, …

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