The Ultimate Guide To Sentiment Analysis APIs For Startups
The term “sentiment analysis” frequently comes up when discussing online reputation, but do we actually understand what it means? Sentiment analysis refers to the many computational linguistics techniques that may be used to locate and extract subjective data from already existing digital content (social networks, forums, websites, etc.). We might be able to derive concrete and immediate benefit from sentiment analysis, such figuring out whether an Internet text’s implications are good or negative.
Sentiment analysis, also known as opinion mining, is a labor-intensive automatic information extraction activity that concentrates on classifying materials based on the favorable or unfavorable connotation of the language employed in the text.
Users today have a variety of options for expressing their ideas on any subject they want thanks to social networks. It is now crucially important for all businesses to monitor consumer sentiment toward a brand or product and assess its impact since your reputation is on the line.
All the information gathered in this way is called opinion mining and thanks to it, companies have immediate availability of the desired information. In addition, opinion mining not only makes it possible to answer “what Internet users think about your own brand or product”, but also makes it possible to obtain competitive advantages in various areas by appropriate means.
Thanks to sentiment analysis or opinion mining, we can gather enough information to know what users (or targets) think on the Internet.
How can customer sentiment analysis help your statup?
Customer/target sentiment analysis can help answer questions such as:
- What do our customers like about our products and services?
- What do our customers dislike about our products and services?
- Have we received too many negative responses recently?
- Has the number of negative responses gradually increased?
- Which branded product has the highest number of positive responses?
- Has the number of positive, neutral and negative responses remained constant compared to last quarter?
- Is there a change in the degree of positive or negative responses?
By conducting a customer sentiment analysis, startups can discover if they are headed in the right direction, measure customer satisfaction levels and increase engagement and loyalty. So how can you perform Sentiment Analysis on the target of your startup? We recommend checking Plaraphy.
Try Plaraphy to perform sentiment analysis
To guarantee that sentiment analysis is carried out in the best way, obtain findings that are accurate reflections of your clients’ goals, and truly understand their perspectives, you need an AI-based solution. Decide where to focus your company’s inventions or enhancements by utilizing Plaraphy to examine the interactions’ attitudes.
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.
It’s simple and fast! In no time, you’ll be sending API requests! You may also be restricted to a specific amount of API queries each month, depending on your subscription. To view Plaraphy‘s pricing and choose the best plan for you, click here.
With this data in hand, you can use Plaraphy API to focus your business on the needs of the clients you want to attract and keep!
Also published on Medium.