The exponential growth of online platforms has made sentiment analysis and fake news detection two of the most critical challenges in the era of Big Data.
Abstract: Multimodal sentiment analysis is an active research area that combines multiple data modalities, e.g., text, image and audio, to analyze human emotions, and benefits a variety of ...
Overview: NLP is widely used in sentiment analysis, chatbots, and content classification.Data scientists combine NLP with ...
Abstract: In social media, individuals often communicate by combining two or more languages leading to the emergence of Code-Mixed data. Analyzing sentiment in Code-Mixed Telugu-English Text (CMTET) ...
Democrats would be in danger of losing around a dozen majority-minority districts across the South if the court struck down part of the Voting Rights Act. Republicans gain 12 more seats, including ...
Two weeks into the government shutdown, the Trump administration has frozen or canceled nearly $28 billion that had been reserved for more than 200 projects primarily located in Democratic-led cities, ...
This important study presents a meta-analysis confirming a statistically significant association between slow oscillation-spindle coupling and memory formation, although the reported effects are ...
XRP is catching retail skepticism again in a gauge that has historically proven profitable for contrarian bets. Data from Santiment shows the token’s bullish-to-bearish commentary ratio slipped under ...
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