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What Are The Top Benefits Of Using A Sentiment Analysis API?

Sentiment analysis, also known as opinion mining, is a much discussed but often misunderstood term. Basically, it is the process of determining the emotional tone behind a series of words and is used to try to understand the attitudes, opinions, and emotions expressed in an online mention.

Sentiment analysis is extremely useful in monitoring social networks as it allows us to get an idea of the general public opinion on certain topics. The benefits of sentiment analysis are numerous and important. The ability to extract information from social media data is a practice that is already being adopted by organizations worldwide.

It has been proven that changes in social media sentiment correspond to changes in the stock market. For example, the Obama administration used sentiment analysis to gauge public opinion on its policies and campaign messages prior to the 2012 presidential election, the ability to quickly understand consumer attitudes and react appropriately is something Expedia Canada took advantage of when they realized that there was a steady growth of negative feedback towards the music in one of their TV commercials.

Sentiment analysis the brand conducted revealed that the music in one of its ads was becoming very irritating after several listens, and consumers were turning to social media to vent. A couple of weeks after the ad first aired, more than half of the comments in the online conversation were negative.

Instead of scoring a failure with the ad, Expedia was able to address the negative sentiment in a fun and conscious way by airing a new version of the ad that showed them breaking the violin that was so annoying.

That is by no means to say that sentiment analysis is a perfect science. Human language is complex. Teaching a machine to parse the different grammatical nuances, cultural variations, jargon and misspellings of online mentions is a difficult process. And teaching a machine to understand how context can affect tone is even more difficult.

Use Plaraphy to analyze the sentiment of the texts

To guarantee that sentiment analysis is carried out in the most efficient manner, obtain data that are true to the aims of your clients, and really understand their perspectives, you must use an AI-based solution. Try utilizing Plaraphy to assess the interactions’ feelings in order to choose where to focus your company’s inventions or improvements.

The Plaraphy API is a Text Analysis tool with various features, in addition to performing sentiment analysis on the text you provide it also offers rewriting, paraphrasing, summarizer, plagiarism detector, classifier and text extractor from the url you indicate.

Additionally, an API like Plaraphy, which can modify any word, sentence, or paragraph, might be helpful for purposes other than sentiment analysis when you are short on time and lacking in creativity. It provides you a choice of synonyms to select from, in three different modes—standard, fluent, and creative—which gives you greater influence over the tone of your writing.

All you have to do is go to the website, click here.

– Go to the upper right button ‘Text Analysis.

– Select the ‘Sentiment’ tab.

– Paste the text you wish the API to analyze in the given box.

– Validate you’re not a robot, and click on ‘Run’.

As easy and fast as that! You’ll be sending API queries in no time! Depending on your subscription, you may also be limited to a certain number of API requests per month. Click here to see Plaraphys pricing and pick which plan is best for you.

With this information in hand, you may begin using Plaraphy API to direct your business towards the desires of the customers you want to reach and maintain!

Also published on Medium.

Published inAppsTechnology

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