Step-by-step guide for sentimental analysis using Machine Learning & Deep Learning

Sentimental analysis is becoming more and more important in a number of fields. This guide book leverages advanced machine learning (ML), deep learning (DL), and  large language models for sentiment analysis in text data, offering a transformative tool for  organizations. By analysing customer feedback, and internal communications, this technology provides critical insights into market trends, customer preferences, and employee morale.

Its application spans from enhancing market segmentation and strategic planning to improving employee engagement and customer satisfaction. This approach empowers management with data-driven decision-making capabilities, enabling proactive responses to market shifts and internal challenges. As a result, organizations can not only align their strategies more eƯectively with customer needs and employee well-being but also gain a competitive edge in the market.

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You can contact the author of this document via email on mohamed_ashour@apcmasterypath.co.uk & mo_ashour1@outlook.com.