How much do you know your clients? Well this question seems to be insignificant but in order to improve your sales and the opinions about your brand, it is necessary to know what these clients feel or think. They often express their views and opinions on social media, or in a product review, surveys and beyond, providing a wealth of information about it.
But with data growing by the day, it´s impossible to manually analyze this mass of information. That´s where Opinion Analysis API comes in. This natural language processing techniques allows you to go beyond numbers and statistics, to automatically understand the feeling and emotions of your customers.
Opinion mining or sentiment analysis, is a text analysis technique that uses computational linguistics and natural language processing to automatically identify and extract sentiment or opinion from within a text, positive, neutral or negative. It allows you to get inside your customer´s heads and find out what they like and dislike and why ; so you can create products and services that meet their needs. When you have the right tools, you can perform Opinion Analysis with the most effective APIs from a text, using artificial intelligence.
Sentiment Analysis can process thousands of pages, comments, emails or surveys in just minutes for real-time results. Or you can perform opinion mining over time to see how sentiment classifications rise or falls. Developers should care about these APIs because they help developers understand the mood of their users. According to a study by Zendesk, 49% of the users who are unhappy with a brand are likely to tells others about their bad experiences through social media (and then you will have to learn how to respond to FACEBOOK ad comments that are not nice for your brand. This is just one of many reasons why it´s important for developers to understand the mood of their users.
OPINION ANALYSIS API FROM ZYLA is a powerful tool for developers that allow them to analyze and understand the data behind text with ease. The API can identify the sentiment of a text, as well as the various entities within it. This information can be used by developers to create more intelligent applications that can be better understand human language. Additionally this API provides a wide range of machine learning tools and services.
The Opinion Analysis API can also analyze directly on a file located in your cloud. This eliminates the need to send the contents of a file in the body of your request. This sentiment processing API can also be used for other tasks such as entity analysis and content classification. Entity analysis identifies specific entity analysis within a text, such as people, organizations and locations. This information can be useful for understanding the text as a whole. For example, if you are analyzing customer feedback, entity analysis could help you determine which aspects of the product people are most satisfied or dissatisfied with. Content classification assigns a category to a piece of a text, such as news, sports or entertainment. This information can be used to help organize and understand data behind.
Sentiment APIs are a great way for developers to extract insights from unstructured data. By using natural language processing, this APIs can help understand customers and employees on a deeper level, as well as get insights from social media. If you are looking to add some extra functionality to your web or your mobile app, be sure to check out the Zyla Opinion Analysis API . Some of their best APIs include email validation and phone validation, so you can be sure you are getting the most accurate date possible.