  An increase in the use of smartphones has laid to the use of the internet and
social media platforms. The most commonly used social media platforms are
Twitter, Facebook, WhatsApp and Instagram. People are sharing their personal
experiences, reviews, feedbacks on the web. The information which is available
on the web is unstructured and enormous. Hence, there is a huge scope of
research on understanding the sentiment of the data available on the web.
Sentiment Analysis (SA) can be carried out on the reviews, feedbacks,
discussions available on the web. There has been extensive research carried out
on SA in the English language, but data on the web also contains different
other languages which should be analyzed. This paper aims to analyze, review
and discuss the approaches, algorithms, challenges faced by the researchers
while carrying out the SA on Indigenous languages.
