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Sentiment analysis of customer feedback for product pricing optimization using text mining and machine learning – Complete Phd and Masters Thesis

Sentiment analysis of customer feedback for product pricing optimization using text mining and machine learning – Complete Phd and Masters Thesis

[ad_1] Introduction In today’s highly competitive market, understanding customer feedback has become crucial for businesses to optimize their product pricing strategies. Sentiment analysis, a technique that involves extracting and analyzing opinions expressed in text data,…

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Predictive modeling for employee retention using HR data and machine learning – Complete Phd and Masters Thesis

Predictive modeling for employee retention using HR data and machine learning – Complete Phd and Masters Thesis

[ad_1] Introduction: Employee turnover is a major concern for organizations as it can lead to significant financial losses and disruptions in productivity. Predictive modeling using HR data and machine learning techniques has emerged as a…

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Fake review detection for online travel agencies using natural language processing – Complete Phd and Masters Thesis

Fake review detection for online travel agencies using natural language processing – Complete Phd and Masters Thesis

[ad_1] Introduction: The rise of online reviews has revolutionized the way consumers make decisions about travel accommodations, activities, and destinations. However, with the increasing prevalence of fake reviews, it has become increasingly difficult for consumers…

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Facial recognition for customer satisfaction measurement using computer vision and in-store cameras – Complete Phd and Masters Thesis

Facial recognition for customer satisfaction measurement using computer vision and in-store cameras – Complete Phd and Masters Thesis

[ad_1] Introduction Facial recognition has gained significant popularity in recent years due to its wide range of applications in various fields including security, marketing, and customer service. One area where facial recognition technology can be…

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Customer segmentation for subscription pricing optimization using clustering algorithms and usage data – Complete Phd and Masters Thesis

Customer segmentation for subscription pricing optimization using clustering algorithms and usage data – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, subscription-based pricing models have gained popularity among businesses seeking to establish predictable and recurring revenue streams. However, determining the optimal pricing strategy for subscription services can be a challenging task,…

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Predictive modeling for customer acquisition in the banking industry using credit data and machine learning – Complete Phd and Masters Thesis

Predictive modeling for customer acquisition in the banking industry using credit data and machine learning – Complete Phd and Masters Thesis

[ad_1] Introduction The banking industry is continuously evolving as banks seek to improve their customer acquisition strategies to remain competitive in the market. With the increase in competition, banks are turning to predictive modeling techniques…

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Image classification for product defect detection using deep learning and manufacturing data – Complete Phd and Masters Thesis

Image classification for product defect detection using deep learning and manufacturing data – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, deep learning has revolutionized the field of image classification by achieving state-of-the-art results in various applications such as object recognition, face detection, and medical image analysis. One area where deep…

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Sentiment analysis of social media posts for crisis response using text mining and deep learning – Complete Phd and Masters Thesis

Sentiment analysis of social media posts for crisis response using text mining and deep learning – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, social media has become a crucial platform for people to express their opinions, emotions, and sentiments in response to various events, including crises such as natural disasters, social unrest, and…

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Anomaly detection in manufacturing supply chains using RFID data and unsupervised learning – Complete Phd and Masters Thesis

Anomaly detection in manufacturing supply chains using RFID data and unsupervised learning – Complete Phd and Masters Thesis

[ad_1] Introduction: Anomaly detection in manufacturing supply chains using RFID data and unsupervised learning is a critical area of research with the potential to revolutionize the way companies manage their inventory, track their assets, and…

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Predicting patient readmission risk using electronic health records and machine learning – Complete Phd and Masters Thesis

Predicting patient readmission risk using electronic health records and machine learning – Complete Phd and Masters Thesis

[ad_1] Introduction Healthcare institutions are constantly looking for ways to improve patient outcomes and reduce costs. One area of interest is predicting patient readmission risk using electronic health records (EHR) and machine learning techniques. By…

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