In this paper, we present the results of the SemEval-2020 Task 9 on Sentiment Analysis of
Code-Mixed Tweets (SentiMix 2020). We also release and describe our Hinglish (Hindi …

Twenty-four studies on twenty-three distinct languages and eleven social media illustrate the
steady interest in deep learning approaches for multilingual sentiment analysis of social …

Understanding the sentiment of a comment from a video or an image is an essential task in
many applications. Sentiment analysis of a text can be useful for various decision-making …

The government's months-long total lockdown in response to the COVID19 outbreak has
resulted in a lack of physical connection with others. This resulted in a massive increase in …

Code switching is a prevalent phenomenon in the multilingual community and social media
interaction. In the past ten years, we have witnessed an explosion of code switched data in …

Analyzing explicit and clear sentiment is challenging owing to the growing use of
emblematic and multilingual language constructs. This research proposes sarcasm …

There is an increasing demand for sentiment analysis of text from social media which are
mostly code-mixed. Systems trained on monolingual data fail for code-mixed data due to the …

Code-switching is the use of more than one language in the same conversation or utterance.
Recently, multilingual contextual embedding models, trained on multiple monolingual …

Code-switching, the alternation of languages within a conversation or utterance, is a
common communicative phenomenon that occurs in multilingual communities across the …

As the number of non-native English speakers on social media has skyrocketed in recent
years, sentiment and emotion analysis on regional languages and code-mixed data has …