A Recommender System for Indian Credit Cards using Text Analytics


With the increase in web and social media usage, views and experiences on products or services shared by online users have increased. Social media acts as the main source of data for text analytics on which the users’ sentiments can be performed. Organizations can gain valuable insights into social marketing strategies by finding sentiments and emotions towards their products.

Sentiment analysis is a process of computationally finding, classifying, and categorizing opinions expressed on the block of text, to decide whether sentiment towards a particular topic or a product is positive, negative, or neutral, and whether emotions are happy, sad, angry, etc. by combining Machine Learning and Natural Language Processing.

In this paper, we perform sentiment analysis through NLP techniques on the reviews and tweets collected from websites and Twitter on prominent Indian credit cards. Predicted sentiment values are used to develop a recommendation model which recommends similar credit cards based on categories.

Keywords: Text Mining, Sentiment Analysis, Sentiment Classification, Natural Language Processing, Recommendation engine, Credit Cards.


Madhukeshwar R K

Staff Technical Product Manager, GE Power

Ratnakar Pandey

Advisor and Consultant for Generative AI, NuWare

He is an Advisor and Consultant for Generative AI at NuWare, specializing in extracting valuable insights and developing practical models from predominantly unstructured data like text and speech. Based in India, he has garnered esteemed accolades including the Project Excellence Award from Citigroup and the Annual Leadership Award from Target. Furthermore, he has been honored as one of the ‘Top 10 Data Scientists in India: 2020.’

Dr. Shinu Abhi

Professor and Director - Corporate Training

She leads the corporate training programs in emerging technologies for working professionals and organizations. RACE runs top ranked programs in Analytics, Cybersecurity, Artificial Intelligence both regulated and customized programs for working professionals and organizations. Dr. Shinu Abhi is a Fulbright fellow at Lehigh University, Pennsylvania. She is a certified Entrepreneurship Educator with Honours, by National Entrepreneurship Network, IIM Bangalore, Stanford University (STVP) and ISB Hyderabad and have trained aspiring entrepreneurs and start-ups and was instrumental in setting up incubation centers at two institutions. She has two decades plus of experience in industry and Academia of repute. She has a PhD and MPhil in Strategy and Entrepreneurship, MBA in Marketing and PG in Instructional Design (PGDID).

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