Are you starting with sentimental analysis APIs? Are you wondering how to choose the right APIs for your company? Then keep reading because here we will give some hints to facilitate this task.
Sentiment analysis API is used to acquire deep insight into otherwise subjective data. Manually scrutinising that information is laborious and even impossible when considering that data grows by the second. The use of artificial intelligence through sentimental analysis API is an automated approach that helps you to optimise time and resources.
As a developer, you might be aware of the benefits of taking into consideration your community’s emotions toward your brand. However, with the vast variety of sentimental’s analysis APIs on the market, finding the right API can become an overwhelming task. When looking for the right sentiment analysis API you might need to consider the general limitations of these APIs.
In the following post, we are going to provide you with further information for you to consider before choosing a sentimental analysis API. The one that can help you get the most accurate insights from your data and fulfil your company’s needs. So, you get the results you expect.
Sentiment Analysis limitations
Before jumping onto tips that might help you to choose the right Sentimental Analysis API. It is important to have into account the current limitations of these tools. Most APIs can only assign three aspects: positive, negative, or neutral. But, human emotions are much more complex than that output.
Another limitation is the use of datasets to train Sentiment Analysis. There are several datasets available for training Sentiment Analysis models but the majority of them are text-based. As a result, part of the meaning that might have been implied in an audio stream is often lost. Nevertheless, this might be relevant depending on the type of business you run.
Tips to select the right Sentiment Analysis API
After, exploring the current limitations of sentimental analysis APIs, you might also need to consider the following features.
Contextual understanding: Most customer opinions are expressed by text. You must take into account the fact that the tool accurately interprets human language using cutting-edge text analysis AI. Therefore, obtain meaningful insights.
Data collection sources: Regardless of the type of business, you want an API that can help you understand data from multiple sources including social media, forums and surveys.
Check Opinion Analysis API: The Right Sentiment Analysis API
From several options in the market, we strongly recommend you Opinion Analysis API from Zila Labs. This tool assesses emotions on straightforward text. Additionally, it helps you to understand your customer’s feelings by determining if a post is a promotor, detractor, or indifferent.
In terms of the input, this API receives a maximum array of 64 elements. It analyses the first 2000 characters of each and then gives a detailed analysis. Regarding its subscription plans, it has a broad variety to fit every need. Beyond the number of queries per month, it does not have any limitations. It supports various languages including English, Spanish, and Dutch.
The importance of having the appropriate tools to perform Sentimental Analysis is becoming more decisive for any developer. It allows them to optimize time and resources to get better results. Truly this can be overwhelming with all the options out there. Considering the limitations and features such as the contextual understanding and the collection of sources might help you to facilitate this duty.