You have presented a new product some time ago but you do not have a clue about your client´s responses. You are missing one important part of your marketing strategies. We recommend you to use Artificial Intelligence and APIs to find out what they think about your latest product.
First, you have to be familiar with the terms. API stands for Application Programming Interface. In the context of APIs, the word Appilcation refers to any software with a distinct function. Interface can be thought of as a contract of service between two applications. This contract defines how the two communicate with each other using requests and responses.
In this case, you are going to use Opinion Analysis API. A sentiment analysis application programming interface is a service that enables developers to add sentiment extraction functionality into their application or websites. The API determines if the emotion or attitude behind what was written has a positive, neutral or negative tone. How does Sentiment Analysis work? In Sentiment Analysis models, the classification can be done on bodies of static text or on audios or video files transcribed.
Once you are familiar with the term, you know what it is used for, and how it works, we present you The Best Three Emotional Analysis APIs. Let´s take a look at the top tools!
1-Twinword Sentiment Analysis API
Twinword offers text analysis APIs for Word Associations, Sentiment Analysis, Text Similarity, and Emotion Analysis with either a la carte or bundled pricing. Twinword’s Sentiment Analysis API uses scores and ratios to determine its type response of positive, negative, or neutral. Anything that scores below -.05 is considered negative, and anything above .05 is positive, with anything in between neutral. To determine the ratio, the API combines the total score of negative words compared to the total score of positive words, still on a -1 to 1 scale. This ratio helps users better analyze the overall sentiment of texts.
2- AssemblyAI´s Sentiment Analysis API
Released in November 2021, AssemblyAI´s Sentiment Analysis API has high accuracy for product teams and developers looking to perform Sentiment Analysis on audio or video streams, and is more affordable than many other Sentiment Analysis APIs on the market today. Its Sentiment Analysis model levarges sentiment polarity to determine the probability that speech segments are positive, negative or neutral. In addition to Sentiment Analysis, AssemblyAI has a host of other Audio Intelligence APIs, including Entity Detection, Speaker Diarization, Content Moderation, Text Summarization, and more.
Go beyond sentiment with our Opinion Analysis API to determine if a social post is a promoter, detractor, or indifferent suggestion. Discover what consumers think & feel about your brand and what you can do to strengthen the emotional connection with consumers. They offer:
–Find marketing insights: learn what your customers think about your products and adjust your offer to meet their needs. –Protect your reputation: find negative comments and talk to their authors before they turn into a PR crisis.-Improve your customer service: customers talk about products on the web and social media more than directly to you. –Customer Assistant: if you have any doubt our team will be happy to help you.
What is Opinion Analysis API used for? A lot! Product teams at telephony companies use Sentiment Analysis to extract the sentiments of customer-agent conversations via cloud-based contact centers. Then, these teams can track customer feelings and feedback toward particular products, events or even agents, aiding customer service. They can also use it to analyze agent behavior as well. Luckily, there are open source libraries and tools that can help you get started with Sentiment analysis. The best APIs for sentiment analysis are built on extensive deep learning research and industry- best principles. If you are looking to decide between the three APIs described above, here are some tips to have into consideration: have a planned budget, consider other languages analysis, choose the one that offer a wide range of emotions,decide before if you need more than a sentiment study.
Also, be sure to review available documentation and any changelogs that indicate how often the sentiment analysis feature, and others, are updated. Zyla based on the latest research and insights are most likely to ensure continued accuracy and ease of use.