This article will focus on how to gain insights into the texts of your competitors with the application of APIs. This way you can get a competitive edge on the market!
Text Analysis APIs
Text analysis APIs allow you to extract useful information from unstructured and open-ended texts. It assists you in determining which types of data are most beneficial to your objectives by assisting you with data arrangement and classification. This kind of application programming interface uses Artificial Intelligence and Machine Learning techniques. As a result, businesses may make forecasts and discover connections between diverse aspects of their operations.
As you can see, the use of these APIs is extremely beneficial to analyse your own texts. But you can also use it as a strategy to acknowledge your competitors. Hence, you can gain insight into your rivals, the way they interact with their clients, and vice-versa. Also, you can make predictions about your competitor’s own operations. It really is a powerful tool to use.
Your Competitors
Gaining insights into your competitors. For example, which type of clients they have, and how they feel. Plus, analysing texts that embody information about them will be extremely beneficial for you. You will be ahead of them. This way, you can have information about how they perform and more. After all, being informed is one of the main keys to success. For this I recommend the following APIs:
Klazify
Klazify is extremely well known for being one of the most accurate content classification APIS. It is an all-in-one domain data source. It uses a smart categorization technology able to scan a website’s content and meta tags. It extracts text to classify the site and assigns up to three categories aided by natural language processing (NLP)
Klazify also offers three top-level category structures to choose from. Whether you need the deep categorization provided by the IAB taxonomy or prefer a more simple category structure, Klazify will provide it. The API allows you to search for a business/website and classify it into categories (up to 3 category levels). The confidence level (confidence in our API) indicates how confident Klazify is of the categorization. It can range from 0-1, with 1 being super secure and 0 not at all secure.
NLTK
The NLTK API shows a variety of techniques for solving specific text mining problems like subject categorization and named entity recognition. It allows you to select the data analysis technique that produces the best results. It is not, however, suitable for working with time-consuming jobs or large amounts of data.
Semantria API
Semantria from Lexalytics encapsulates text analytics and natural language processing capabilities in a RESTful API. It uses the graphical configuration and user management tools. The API delivers data analysis models that have been pre-trained. Plus, allows for sentiment analysis, subject labeling, keyword extraction, entity recognition, and more. You can use pre-trained models or construct custom models with your company’s data.
This would be all. You are ready to analyse all those texts and be three steps ahead of the competition!