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Impact and Application of Text Analytics in Cognitive Services

Cognitive services make use of different technologies, like Natural Language Processing (NLP) analytics, deep learning, machine learning, and analysis of trends. They provide business organizations with the choice of developing applications that allow you to understand the audio, image, and video data. Such type of cognitive technology will enable you to learn faster from different patterns of various external and internal sources.

Analytics in Cognitive Services

It offers insights from the massive volume of unstructured and structured data. Such fetched insights provide the optimum choice to the business organizations for the Analysis of vulnerabilities and market threats across various business functions. It also offers a helping hand in improving the business consistently.

Such an aspect helps enhance the demand for different cognitive services which are useful to the business organizations in creating other marketing plans, reshaping the specific operations model, and preventing various network attacks. At present, different industries are encountering a faster change in the present market scenario, which offers them a competitive edge to enhance the profit margin.

Content Moderator

Content Moderator provides the capabilities for diagnosing the unwanted and offensive images potentially with the aid of different machine learning-based classifiers, optical character recognition, custom blacklists. It is regarded as an ideal choice in finding the potential profanity in about 100 languages. In addition to this, it helps in matching the text against the custom lists automatically.

Besides this, Content Moderator allows you to monitor PII or personally identifiable information. Every text API call comprises 1,024 characters. Content Moderator provides the suitable choice to scan the images to detect racy and adult content, face detection, and optical character recognition. Besides this, it allows you to match against the customized image lists where every API call is regarded as a transaction.

Computer vision

It is the cloud-based and state of the art API, which offers an excellent choice to the developers to get access to different advanced algorithms. You will be capable of extracting the enriched information from other images, processing, and categorizing the visual data. Such capabilities include tagging, image analysis, text extraction solution, and celebrities’ recognition, smarter and reliable thumbnail generation.


Face API is an integral part of cognitive services that make the proper use of different cloud-based and state of the art face algorithms that help recognize and detect the face of human in the images. Such capabilities include features such as face grouping, face verification, and face detection, which help in the organization of faces into different groups, following the visual similarity. 

Language Understanding

Also referred to as LUIS, Language Understanding provides an efficient and faster option to add language understanding options to a plethora of applications. With Language Understanding, making the proper use of pre-built, world-class, and pre-existing models suitable for the objectives is possible. developing them faster.

Translator Text

Translator Text API offers cloud-based machine translation services that support several languages. It allows you to reach about 95 percent of the gross domestic product across the globe. You should make the right use of a translator to develop tools, sites, applications, and solutions that need multi-language support.

Text Analytics

The computers’ capabilities in processing numeric and tabular data are an integral part of different industries. Though it is a prerequisite to process the colossal numeric data amount in no time, it is not possible to express the general mode of communication in human beings as a number and table. Instead, it is expressed in the form of sentences and words. There are scopes of discovering the vital information in the unstructured data type through the language.

Whether your objective involves the Analysis of reviews, written responses, and the classification of documents, the capabilities of gaining the insights accurately and faster from the text will drive improved decisions of the business. Natural Language Processing contributes to being a brand of text analytics that comes with enhanced human language understanding of the computers.

Text Analytics boasts of four major components such as sentiment analysis, language detection, named entity recognition, and key phrase extraction. For different Text Analytics, the data needs to function in the.json format. Mapping of other functions in the Databricks is beneficial in compiling data frame in the dictionary, followed by the .json format.

Language Detection

Amazon review data is available in a wide array of languages. The capabilities of detecting the language can result in different valuable insights into the consumer demographics. It is possible to send the requests with the aid of subscription keys and endpoints present in the Azure Portal. If you want to access the Text API, you should ensure to append the corresponding string to the primary endpoint.

Language Detection contributes to being a feature of the Text Analytics software, which helps evaluate input for every document, after which it returns the full name, the abbreviation name, and the confidence score. 

Sentiment analysis solution

Sentiment analysis is another crucial aspect of text analytics application in Cognitive Services. Sentimental Analysis contributes to contextual text mining, which offers a helping hand in identifying and extracting subjective details present in the source material. It is useful to the business organization to understand the service and product’s social sentiment and track online conversations.

It is a text classification tool which helps in the analysis of incoming message. It is possible to determine if the underlying sentiment is neutral, negative, or positive with sentiment analysis.Sentiment analysis is effective in recognizing the crucial emotional triggers which are effective in driving the decisions.

Sentiment analysis solutions stands second to none in offering a data-based and insightful marketing strategy. It is also useful in improving the online presence of your brand. Analysis of the sentiment of the potential audience around the products and services of your business is useful in understanding the motivation behind the purchasing decision of the potential audience.


Business Intelligence developers make the right use of cognitive services to add AI insights to the Analysis. It comprises five different categories: Speech, Vision, Language, Decision, Search, where each one contains various services.

Author: Muthamilselvan is a passionate Content Marketer and SEO Analyst. He has 5 years of hands on experience in Digital Marketing with IT and Service sectors.

He is a Blogger, Tech Geek, SEO Expert, and Designer. Loves to buy books online, read and write about Technology, Gadgets and Gaming. you can connect with him on Facebook | Linkedin | mail:


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