Sentiment Analysis Using Natural Language Processing NLP by Robert De La Cruz

Artificial intelligence
8 Best Python Sentiment Analysis Libraries Your projects may have specific requirements and different use cases for the sentiment analysis library. It is important to identify those requirements to know what is needed when choosing a Python sentiment analysis package or library. This “bag of words” approach is an old-school way to perform sentiment analysis, says Hayley Sutherland, senior research analyst for conversational AI and intelligent knowledge discovery at IDC. A. Sentiment analysis means extracting and determining a text’s sentiment or emotional tone, such as positive, negative, or neutral. Document-level analyzes sentiment for the entire document, while sentence-level focuses on individual sentences. Aspect-level dissects sentiments related to specific aspects or entities within the text. Another approach to sentiment analysis is to use machine learning models, which are algorithms that learn…
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Intelligent Automation in Banking SpringerLink

Artificial intelligence
Intelligent Automation: Banking Sectors $2BILLION Untapped Resource The journey to becoming an AI-first bank entails transforming capabilities across all four layers of the capability stack. Ignoring challenges or underinvesting in any layer will ripple through all, resulting in a sub-optimal stack that is incapable of delivering enterprise goals. If you want to implement intelligent automation in your business but don’t know where to start, feel free to check our comprehensive article on intelligent automation examples. Microsoft is well positioned to maintain that momentum due to its exclusive partnership with OpenAI, which lets Azure clients use models like GPT-4, the cognitive engine that powers ChatGPT Plus, to build custom applications. Intelligent automation can revolutionize business operations by combining automation technologies and AI to improve efficiency, save costs, and enhance accuracy. Data…
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