The Text Analytics API is a cloud-based system that includes content analysis, text mining, keyword density extraction, language detection, and named entity recognition among other Natural Language Processing. Text analysis APIs allow you to use the leverage of pre-built tools rather than having to create the software from scratch. Based on your skills, budget, and timeline, you can use open-source or SaaS software. While open-source software is free, adaptable, and provides a wealth of resources, using open-source APIs will necessitate a team of machine learning experts. SaaS tools, on the other hand, give users access to advanced text mining solutions that can be implemented quickly and easily with just a few lines of code and require no prior knowledge of application development or machine learning.

Benefits of implementing Text analytics API.

• It simplifies your business processes.

• It enables knowledge workers to make the most of their time.

• It automates and automates time-consuming and manual tasks.

• It allows you to keep track of the reputation of your company.

• It identifies new revenue streams for you and makes proactive crisis management possible.

• To begin, you could use a variety of text mining APIs. The one which best suits your needs will be determined by the scope of your project, and the budget and core competencies of your company.

Here are some text analytics APIs that you can use in your company.

1. BytesView BytesView’s text analysis API is simple to use and can accurately assess user information by analyzing complex structured or unstructured text data. Using their text analysis solutions, you can easily collect text data from multiple sources and use it to focus on improving your customer support services, employee and customer response solutions, and so on.

2. IBM Watson IBM Watson is the company’s AI platform of choice. Watson’s Natural Language Understanding API gives developers advanced tools and features for creating deep learning text analysis models. Watson Natural Language Classifier (for text classification), Watson Tone Analyzer (for emotion analysis), and Watson Personality Insights are all use APIs within the Watson environment (for customer segmentation).

3. Rosette Rosette’s text analysis API can perform sentiment analysis as well as finer-grained analysis on social media data. Customers’ emotions, for example, when they mention a particular product, company, or person. If you have global data, you can train Rosette’s sentiment analysis tool to recognize up to 30 languages.

4.Monkeylearn MonkeyLearn is a text analysis program known for its adaptability. Simply create tags and then manually highlight different parts of the text to show which content belongs to which tag. Over time, the software learns on its own and can process multiple files at the same time It contains a collection of pre-trained models for tasks such as sentiment analysis, keyword extraction, urgency detection, and much more

1. Natural Language API for Google Cloud Using Google’s machine learning, the Google Cloud Natural Language API helps businesses understand and help advance information in the text. It essentially offers two types of options: a set of pre-trained models for analyzing sentiment, locating entities, and categorizing content, and Cloud Auto ML, a suite for creating custom machine learning models. Creating your own models is straightforward, and there are numerous guides available to help you navigate the API.

2. Lexalytics Lexalytics is a text analytics solution that analyses various types of text. Lexalytics can analyze social media comments, surveys, and reviews, as well as any other type of text document. Aside from sentiment analysis, the tool also performs classification, theme extraction, and intention detection, allowing users to see the full context.

3. Talkwalker Talkwalker API is another great tool to use for text analysis. It claims to have the best sentiment analysis technology available, allowing it to distinguish between sarcasm and other ambiguous derogatory mentions. As it can tell you exactly that people perceive your company’s social media accounts, this tool is best used in conjunction with your social channels.

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