Natural Language Processing Projects

Chapter 1: Natural Language Processing and Artificial Intelligence Overview.- Chapter 2: Product360 - Sentiment and Emotion Detector.- Chapter 3: TED Talks Segmentation and Topics
Extraction Using Machine Learning.- Chapter 4: Enhancing E-commerce Using an Advanced Search
Engine and Recommendation System.- Chapter 5: Creating a Resume Parsing, Screening, and Shortlisting
System.- Chapter 6: Creating an E-commerce Product Categorization Model Using Deep Learning.- Chapter 7: Predicting Duplicate Questions in Quora.- Chapter 8: Named Entity Recognition Using CRF and
BERT.- Chapter 9: Building a Chatbot Using Transfer Learning.- Chapter 10: News Headline Summarization.- Chapter 11: Text Generation - Next Word Prediction.- Chapter 12: Conclusion and Future Trends. 

Akshay R Kulkarni is a renowned AI and machine learning (ML) evangelist and thought leader. He has consulted with Fortune 500 and global enterprises to drive AI and data science-led strategic transformations. Akshay has experience building and scaling AI and ML businesses and creating significant impact. He is currently Manager of Data Science & AI at Publicis Sapient on their core data science and AI team where he is part of strategy and transformation interventions through AI. He manages high-priority growth initiatives around data science and works on AI engagements by applying state-of-the-art techniques. He is a Google Developers Expert-Machine Learning, published author of books on NLP and deep learning, and a regular speaker at major AI and data science conferences (including Strata, O'Reilly AI Conf, and GIDS). Akshay is a visiting faculty member for some of the top graduate institutes in India. In 2019, he was featured as one of Top 40 under 40 Data Scientists in India. In his spare time, he enjoys reading, writing, and coding, and help aspiring data scientists. He lives in Bangalore with his family.

Adarsha Shivananda is a senior data scientist on Indegene's Product and Technology team where he works on building machine learning and artificial intelligence (AI) capabilities for pharma products. He aims to build a pool of exceptional data scientists within and outside of the organization to solve problems through training programs, and always wants to stay ahead of the curve. Previously, he worked with Tredence Analytics and IQVIA. Adarsha has worked extensively in the pharma, healthcare, retail, and marketing domains. He lives in Bangalore and loves to read and teach data science. Anoosh Kulkarni is a data scientist and senior consultant focused on artificial intelligence (AI). He has worked with global clients across multiple domains and helped them solve their business problems using machine learning

"For experienced NLP analysts, the book does provide an interesting collection of example problems and solutions, but such readers will need to exert some effort to extract useful knowledge and practice from the content." (Harry J. Foxwell, Computing Reviews, November 11, 2022)