Sentiment analysis, a powerful tool in the marketing world, is the process of extracting opinions, emotions, and attitudes from text data. By leveraging natural language processing and machine ...

Custom sentiment analysis is hard, but neural network libraries like Keras with built-in LSTM (long, short term memory) functionality have made it feasible. Step into the Data Science Lab with Dr.

This article will explore the uses of sentiment analysis, how proper sentiment analysis is achieved and why companies should explore its use across various business areas.

Discover how Excel’s Copilot uses AI to automate tasks like summarization and data cleanup. Is it the productivity ...

Harnessing the power of sentiment analysis can help us create more effective, engaging and responsive social media strategies.

AI is used for algorithmic trading, analyzing trends for faster, unbiased trade execution. Investors utilize AI in sentiment analysis to predict market movements based on public mood. AI assists ...

Google developed its Cloud Natural Language API to give customers a language analyzer that could, the internet giant claimed, "reveal the structure and meaning of your text." Part of this gauges ...

Quantzig announces the completion of their recent article that highlights the business benefits of sentiment analysis in the insurance industry.

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How sentiment analysis is transforming retail, offering actionable insights into building stronger customer relationships.