Challenges in Sentiment analysis and how to solve it

Sentiment Analysis with NaturalText AI

Sentiment Analysis as a way to understand customer feedback or gauging the market has three major issues 

The issue with Results - Results show only numbers or scores i.e how many are happy or not happy etc But the businesses need why customers are not happy or happy. That can give ways to solve those issues. 

The issue with Data - Data can come with various issues such as spam, unwanted feedback. Even though businesses need to understand if the people intended are giving the feedback or bots. 

Third issue with Tools - How can the tools be used? Does it need historical data? Can the training data be bias free etc. 

NaturalText AI can solve these issues and applied to multiple domains even in the Pharmacovigilance

NaturalText AI uses mathematical formula to extract contextual meaning from the data by understanding grammatical structure

Thus it can show why people are giving a particular feedback

Offers ranking of the feedback thus issues can be prioritized   

Results are explainable, bias free with the burden of historical data 

Contact info at naturaltext.com