Sentiment analysis is a natural language processing (NLP) technique that uses artificial intelligence to determine the emotional tone or attitude expressed in text, speech, or social media content. It classifies data as positive, negative, or neutral, helping organizations understand public opinion, customer feedback, and brand perception. Machine learning models trained on large datasets analyze word patterns, context, and tone to detect subtle emotional cues. Businesses use sentiment analysis to improve customer experience, monitor reputation, and enhance marketing strategies. As AI models evolve, sentiment analysis is becoming more context-aware, capable of interpreting sarcasm, cultural nuances, and complex emotions.
Andrew Tulloch, co-founder of the $12 billion AI startup Thinking Machines Lab, has joined Meta after previously rejecting what reports described as a $1.5 billion offer — a figure Meta has since called ‘inaccurate and ridiculous.’
Google has unveiled Gemini Enterprise, a next-generation AI platform designed for business productivity and collaboration, positioning itself directly against Microsoft’s Copilot and OpenAI’s enterprise solutions in the race for workplace AI dominance.
Google Cloud and Figma have launched an expanded partnership to embed Google’s generative AI models – including Gemini 2.5 Flash and Imagen 4 – directly into Figma’s design tools, reducing latency and accelerating creative workflows.
Opera today introduced Neon, an AI-powered browser that can run tasks and navigate pages autonomously — aiming to shift web browsing from passive to “agentic.”
AI search startup Perplexity has reportedly raised $200 million at a $20 billion valuation, just two months after a $100 million round – signaling its rapid rise as a major rival to Google.