A complete end-to-end system for real-time facial sentiment analysis that classifies expressions as "happy" or "sad" using a custom CNN trained on the FER2013 dataset.

TikTok’s algorithm favors mental health content over many other topics, including politics, cats and Taylor Swift, according to a Washington Post analysis. At first, the mental health-related videos ...

Stay on top of customer mood without manual analysis. This n8n workflow automation evaluates Zoho CRM interactions using Google Gemini to detect sentiment trends and triggers Gmail alerts for negative ...

Five filmmakers experimented with AI tooks to take part in a series of short films commissioned by Adobe to show off the capabilities of its Firefly AI platform. The shorts screened on Oct. 28 at the ...

In addition, multiclass sentiment analysis using a fine-tuned Korean bidirectional encoder representations from transformers (KoBERT) model classified sentiments into 6 categories. The multiclass ...

Latent Dirichlet allocation was used to identify latent themes across the dataset. Sentiment analysis was conducted using the Bing Liu and National Research Council lexicons, with scores ranging from ...

Abstract: Sentiment analysis is an important task in natural language processing. Twitter sentiment analysis (SA) is the most frequently researched discipline today. Only a few researchers have ...

Abstract: With the availability of many social media sites, the reviews and comments by the customers are freely available for analysis. Most of these reviews are textual as per the content ...