… election results from tweets in different Indian languages. We used Twitter Archiver tool to
get tweets in Hindi language. We performed data (text) mining on 42,235 tweets collected over …

… observed while performing Sentiment analysis specifically in Hindi are mentioned below. …
sentiment detection on Hindi tweets and categorized them into positive, negative, and neutral …

… approach that combines heterogeneous classifiers in an ensemble for sentiment polarity
detection in Bengali and Hindi tweets. … sentiment lexicon to augment tweet words with sentiment …

… Nrc-canada: Building the state-of-theart in sentiment analysis of tweets. In Proceedings of
the seventh international workshop on Semantic Evaluation Exercises (SemEval-2013), Atlanta…

… on user data provided by social media platforms like Twitter and Facebook is an … Twitter.
Based on their findings, they reported that Hindi was the most popular language among Twitter …

… The problem of identifying the sentiments in the code-mixed Hindi tweets is studied in this
work. By applying effective preprocessing techniques and choosing the mix of n-grams (\(n = \) …

… (2015c) performed SA of Hindi tweets using binary and statistical features generated
from HSWN. The authors mapped the input features to a random Fourier feature space and …

… Nowadays, social websites like facebook, twitter are widely used for posting the users reviews
… In this paper an approach to Sentiment Analysis on movie reviews in Hindi language is …

… In the presence of sarcasm, sentiment analysis on these social media texts became the
most challenging task. Therefore, an automated system is required for sarcasm detector in …

… Authors have proposed system for Sentiment Analysis of Hindi Tweets using unsupervised
classification, which uses subjective lexicon. Authors have developed SentiWordNet which …