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 …

Drug-resistant tuberculosis is a substantial health-care concern worldwide. Despite culture-
based methods being considered the gold standard for drug susceptibility testing, molecular …

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 …

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 …

Recent trends in NLP research have raised an interest in linguistic code-switching (CS);
modern approaches have been proposed to solve a wide range of NLP tasks on multiple …

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

Sentiment analysis automatically evaluates people's opinions of products or services. It is an
emerging research area with promising advancements in high-resource languages such as …

We present an overview of the second shared task on language identification in code-
switched data. For the shared task, we had code-switched data from two different language …

This article tackles the problem of performing multilingual polarity classification on Twitter,
comparing three techniques:(1) a multilingual model trained on a multilingual dataset …