In some cases the sentiment analysis might not enough understand what the customer actually feels.
Emotion analysis is the process of identifying and analyzing the underlying emotions expressed in textual data.
Emotion analytics can extract the text data from multiple sources to analyze the subjective information and understand the emotions behind it.
BytesView's advanced machine learning techniques can help you analyze the emotions expressed by the author in a piece of text.
It can be easily done based on the types of feelings expressed in the text such as fear, anger, happiness, sadness, love, inspiring, or neutral.
Gather and analyze large volumes of text data to analyze the emotions of your followers, customers, and more.
Analyze large volumes of social media and feedback data to examine and weigh the emotions expressed in the text data. Define priorities for actions and improve user experience with our emotion analytics tool.
Compile brand related data from multiple sources and analyze it to identify the emotions of the users. Emotion analysis will help you gauge your brand’s reputation as conveyed by the users. Define alerts that can tarnish your brand's reputation.
Analyze employee feedback data to examine their happiness. Emotion analysis helps to identify early problems and resolve them before they escalate any further. Avoid losing talented individuals.
Given below are the steps to access the BytesView Emotion Analysis API. You can either gather the data by yourself in an excel/CSV format or ask us to do so.
Now train custom emotion analysis models with data related to your organization to further increase accuracy of the output.
Let BytesView platform helps you solve all your text analysis needs