Expansive Applications of Text Analytics using Amazon Comprehend

Expansive Applications of Text Analytics using Amazon Comprehend

Global digitization has attached greater value to business data and analytics. [AI development services](https://artificialintelligence.oodles.io/ "AI development services") such as Natural Language Processing and sentiment analysis are...

Global digitization has attached greater value to business data and analytics. AI development services such as Natural Language Processing and sentiment analysis are significantly improving business capabilities for in-depth data analytics. Amazon Comprehend is a text-processing tool that is gaining momentum across industries and channels for accurate and effective insight generation. In this article, we are discussing some business-oriented use cases of text analytics using Amazon Comprehend for global businesses.

Amazon Comprehend: Business Applications for Text Analytics

  1. Classifying Complex Databases
    The data revolution has transformed the way businesses store, access, and process critical documents and data. However, traditional methodologies such as Optical Character Recognition (OCR) are failing to match the growing complexities of organizational data and operations.

Artificial intelligence and machine learning technologies together are empowering businesses to automate their data processing capabilities with ‘Data Analytics’. Amazon Comprehend combines ML algorithms and Natural Language Processing (NLP) techniques to extract valuable insights from complex data structures. Organizations can support their big data requirements with Amazon Comprehend in the following ways-

a) Automate Data Organization and Categorization
Amazon Comprehend can automate the data organizing and categorizing processes for diverse business documents such as research papers, articles, etc.

b) Streamline Discovery of Documents
NLP and ML algorithms enable Amazon’s Comprehend to ease the discovery of documents from large and complex datasets.

c) Personalize Content Recommendations
In addition to data classification, Amazon Comprehend also works to improve the personalized content recommendations for the end-user.

  1. Analyzing Social Media Interactions
    In a social media dominated world, it is indispensable for businesses to approach their social media audiences proactively. With over 2.65 billion active users and continuous interaction streams, social media data can contribute invaluable insights to an organization’s marketing strategies.

Amazon Comprehend augments the social media marketing efforts of businesses with abilities to analyze customer interactions across channels, emails, forums, etc. The NLP and ML algorithms underlying Amazon Comprehend can evaluate posts and comments to extract key phrases, entities, and sentiment analytics for-

a) A better understanding of consumer behavior and feedback towards certain services

b) In-depth analysis of consumer pain points to enhance the customer services and user experience

c) Developing and improving customer relations across channels

Amazon Comprehend along with Redshift enables an efficient, automated, and accelerated identification of business activities that lead to positive customer responses.

  1. Understanding Customer Grievances
    Customer grievances are a vital source of business improvement and development. However, a lack of standard procedures and delayed escalation of customer complaints to appropriate departments prevent businesses to satiate disappointed customers.

AI’s conversational abilities are fast evading business infrastructures to handle cust2) Analyzing Social Media Interactionsomer grievances with lower response times and better results.

An estimate by Business Insider suggests that 67% of 5000 consumers surveyed preferred chatbots to avail of customer support services.

Amazon Comprehend is an effective platform that integrates with business chatbot development services to automate the categorization of customer support tickets across channels. In addition, the ML algorithms underlying Comprehend can be used to-

a) Direct queries, requests, and issues, etc. to the respective teams equipped to best resolve them for quick and accurate redressal.

b) Classify inbound customer support documents like online feedback forms, customer support tickets, and product reviews based on their content.

Expansive Text Analytics using Amazon Comprehend with Oodles AI
The AI team at Oodles has experiential knowledge in deploying machine learning algorithms for in-depth text analysis to extract actionable insights. We use natural language processing techniques and tools to analyze unstructured big data including organizational data, social media interactions, customer responses, and more.

Konfer is our most recent project built on Amazon Textract and Comprehend to automate the classification and discovery of online research papers. We used Comprehend’s NLP and NLU APIs to analyze complex research document sources to identify key concepts and themes for greater insights.

With Comprehend, we classified over a million publications and research documents curated from renowned universities. In addition, the system accurately captures the sentiment of each copy for an automated summarization of specific papers.

To know more about our AI and machine learning services, please contact our AI development team.

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Why should you opt for a Data Analytics career?

If you want to fast-track your career then you should strongly consider Data Analytics. The reason for this is that it is one of the fastest growing technology. There is a huge demand for Data Analyst. The salaries for Data Analytics is fantastic.There is a huge growth opportunity in this domain as well. Hence this Intellipaat Data Analytics tutorial is your stepping stone to a successful career!

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Amazon is a leading online marketplace that enables sellers to showcase their products in front of a worldwide audience. However, it doesn’t guarantee successful selling unless you are using the right marketing strategies. The main reason Amazon...

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Amazon sellers who are unaware of the mechanism behind Amazon searches cannot capitalize on it effectively. To ease seller efforts, Amazon offers a standalone marketing and advertising platform called Amazon Marketing Services (AMS).

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How do keywords and performance decide the ranks?

Keywords play a significant role in displaying the search results for a particular query. If your product listing does not contain the keywords that match the search query, it won't appear in the results. Hence, keyword optimization for every listed product is a must. After the filtration, Amazon lists the remaining products based on their purchase likelihood.

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Gain Immediate Results with Amazon PPC

PPC Management Services on Amazon drive more traffic to your product listings to boost sales and improve conversion. Amazon PPC ads are broadly divided into three parts i.e Sponsored Ads, Sponsored Brand Ads, and Product Display Ads. The sponsored ads, appear across the top whenever you search for any keywords in the Amazon search bar.

READ THE FULL BLOG: https://www.oodlesmarketing.com/blog/amazon-seo-and-amazon-ppc-marketing-strategy/

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