Analyze the complex emotions expressed in any piece of text. Compile and analyze larger volumes of textual data and identify the deep meaning behind them with emotion analysis.Schedule a Demo
Emotion analysis is the process of identifying and analyzing the 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. Emotion detection and classification 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.
BytesView's emotion analysis tool is specifically designed to analyze large volumes of text data and transform it into actionable insights. It is capable of analyzing unstructured textual data in multiple dialects and formats. Integrate the BytesView API with your system to streamline data gathering, or build custom emotion analytics models trained with your organization's data for accurate emotion detection.
Given below are the steps to access the BytesView emotion analytics API. You can gather the data by yourself in an Excel/CSV file, or you can use the Bytes View to do it for you.
Get access to BytesView API and integrate it with your system. Train custom emotion analytics models with data specific to your organization to increase accuracy of the analyzed data.
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