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.

Natural language processing, or NLP for short, is best described as “AI for speech and text.” The magic behind voice commands, speech and text translation, sentiment analysis, text ...

Then that analysis comes to the Face interface, which returns the results, and draws a bounding box around the faces, along with a label for the given emotion. The Python code also sends the results ...

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

Today, a plethora of algorithm-based digital applications and analysis tools are being used to gather data about the customer experience in order to enhance it.

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