Deep Learning: Theory, Architectures and Applications in Speech, Image and Language Processing

A Proposal of an Android Mobile Application for Senior Citizen Community with Multi-lingual Sentiment Analysis Chatbot

Author(s): Harshee Pitroda*, Manisha Tiwari and Ishani Saha

Pp: 146-166 (21)

DOI: 10.2174/9789815079210123010013

* (Excluding Mailing and Handling)


Throughout these years, technology has transformed our world and has become an integral part of our everyday lives. This massive digitalization needs to take into consideration the elderly community too. However, the elderly community is usually digitally excluded, but despite these various and diverse difficulties, they remain driven, engaged, and eager to make an effort, to incorporate developing digital technologies into their daily life. Hence, this research implements the functionality of analyzing and determining the emotions of senior citizens by utilizing various natural languages processing-based machine learning techniques like SVM, Random Forest, and Decision Tree. Different algorithms were used, and various parameters were compared to obtain the results. It is seen that SVM gave the best results with an accuracy of 88%. The android application “Bandhu – your forever friend” would be accessible and usable by the elderly community. In addition, this proposed application offers various other features, including learning a new language and listening to the regional songs which would cater to the multicultural requirements in a diverse country like India, recording their audio stories to preserve the ethnic culture and inspire others, and lastly becoming tech-savvy by following easy video tutorials. These features would not only keep them engaged but also tackle their loneliness and isolation to some extent, as all these features were considered after surveying around 100 senior citizens' lifestyles and needs. This app will also make them more digitally independent. All the above-mentioned functionalities have been implemented using the programming language Java and the android application is built in Android Studio. Also, the entire app is in the Hindi language, considering that this language is the most preferred and spoken language in India. 

Keywords: Android application for senior citizens, Decision Tree, Multi-lingual sentiment analysis chatbot, Random Forest, Support Vector Machine (SVM), TF-IDF Vectorization.

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