Sentiment analysis is showing great benefits for businesses deploying it. So why do so many continue to ignore this tool?

Sentiment analysis is a technique used to figure out the emotional tone behind words. It tells you whether someone’s opinion is positive, negative, or neutral. Sentiment analysis helps machines ...

Search for Automated Sentiment Analysis, for example, and you confront three distinct schools of thought, all seeking to influence you and what you do next: It’s the greatest thing since sliced ...

Is it true that Google uses sentiment analysis to rank web pages? These are the facts.

Applying this attention concept to aspect-based sentiment analysis further enhances model accuracy. The matrix below depicts an example of attention between each term in a review.

For example, sentiment analysis in healthcare leverages natural language processing and text mining to analyze written texts obtained through reviews, social media platforms, and surveys.

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.

] But making the most of sentiment analysis requires a curious blend of art and science. Here is a look at how some organizations are putting sentiment analysis to beneficial use.

Motherboard had access to a more nuanced analysis version of Google's Cloud Natural Language API than the free one linked above, but the effects are still noticeable.