Keskeiset käsitteet
Magahi-Hindi-English code-mixed dataset MaCmS introduced for sentiment analysis, highlighting language preferences and challenges in sentiment analysis for low-resourced languages.
Tilastot
"MaCmS: Magahi-Hindi-English (MHE) code-mixed dataset for sentiment analysis."
"This dataset is the first Magahi-Hindi-English code-mixed dataset for sentiment analysis tasks."
"Sentiment analysis involves categorizing text into positive, negative, or neutral categories."
"Sentiment analysis has expanded into various fields due to social media platforms like YouTube and Twitter."
"Sentiment analysis for Indian languages, especially in code-mixed settings, is still relatively nascent."
Lainaukset
"In multilingual societies, code-mixing on social media is a well-known phenomenon."
"Sentiment analysis not only reveals the mood of the speaker but also provides insights into cultural and political attitudes."
"The dataset aimed to get the polarity of the comments for sentiment analysis in closely related code-mixed text for low-resourced settings."