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Perform Text Mining For Tweets About Your Products With This API

Social media are a source of essential information for business owners improve their marketing strategies and optimize their sales.

In this case we´re concerned about Twitter, that is probably the fastest and richest application to scrape for the opinions one can rake there. Developers must devise scraping tools for their clients.

Perform Text Mining For Tweets About Your Products With This API

Possibly the strongest software on which to develop easy-to-use tools for business owners is Opinion Mining Analysis API. This API allows to scan any website and application to learn what customers think of one´s products and services. Accuracy and efficiency are two outstanding features of this opinion mining API.

This sentiment analysis API allows to go beyond sentiment so as to determine if a social post in a tweet is a promoter, detractor, or indifferent suggestion. Users are able to discover what consumers think and feel about one´s brand, and what one can do to strengthen the emotional connection with consumers.

This emotion analysis API can gather sentiment statements on the text provided, and besides it has the purpose to help the user understand what the consumers think about what the business owner sells or renders on line. The NLP sentiment analysis API can detect if their opinions help to promote one´s brand, or if they are detractors or, maybe indifferent at all. It must be highlighted that this API can support content in English, German and Spanish.

The most frequent use cases of this application are the possibility to understand what is being said online about one´s brand and products, and at the same time to be able to identify which consumers are emotionally connected to one´s brand. In this way the business owner is certain of the loyalty of their customers, and by mining the competitors´ accounts, they can understand how to be more attractive to appeal to more customers.

This API helps detect what are the tweets that promote one´s brand or detract from it. This is helpful to analyze what is missing from one´s product/brand and what is being loved about one´s brand. This will lead to making better commercial decisions that will turn out into better performance and improved commercial experience.

How To Start Using This API

Perform Text Mining For Tweets About Your Products With This API

If you already count on a subscription on Zyla API Hub marketplace, just start using, connecting and managing APIs. Subscribe to Opinion Analysis API by simply clicking on the button “Start Trial”. Then meet the needed endpoint and simply provide the search reference. Make the API call by pressing the button “test endpoint” and see the results on display. The AI will process and retrieve an accurate report using this data.

Opinion Analysis API examines the input and processes the request using the resources available (AI and ML). In no time at all the application will retrieve an accurate response. The API has one endpoint to access the information: Analyzer, where you insert the opinión you need to analyze.

If the input is “language”: “en”, “text”: “Guess it´s ok” in the endpoint, the response will look like this:

{ "id": "4", "predictions": [ { "probability": 1, "prediction": "Indifferent" }
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