Exploring Sentiment Analysis in Indian Regional Languages: Methods, Challenges, and Future Directions

Exploring Sentiment Analysis in Indian Regional Languages: Methods, Challenges, and Future Directions

Vedant Nemade
Department of Computer Engineering, Pimpri Chinchwad College of Engineering, Pune, India

Harshada Lahane
Department of Computer Engineering, Pimpri Chinchwad College of Engineering, Pune, India

Sanika Nandanwar
Department of Computer Engineering, Pimpri Chinchwad College of Engineering, Pune, India

Pratiksha Karande
Department of Computer Engineering, Pimpri Chinchwad College of Engineering, Pune, India

ABSTRACT

Sentiment Analysis, pivotal in natural language processing, extends its reach beyond English to Indian regional languages like Hindi, Marathi, Kannada, Konkani, Bengali, Khandeshi, and Urdu. This paper presents a comprehensive survey of 32 research papers in this domain, examining methodologies, datasets, and techniques while emphasizing the significance of sentiment analysis in diverse linguistic contexts for enhancing customer relationship management functionalities. It underscores the necessity for future research and highlights the efficacy of machine learning techniques. By elucidating on computational challenges and outlining various sentiment analysis methods, this paper serves as a critical resource for researchers and practitioners, fostering advancements in sentiment analysis tailored to regional linguistic nuances.

  KEYWORDS

Bag Of Words, Hindi, Kannada, RNN, Konkani, Malayalam, Marathi, Maximum Entropy, Naive Bayes, Sentiment Analysis, SVM, TF-IDF, Urdu.