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
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.
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.
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.
🔥Intellipaat Data Analytics training course: https://intellipaat.com/data-analytics-master-training-course/ In this data analytics for beginners video you wi...
In this data analytics for beginners video you will see introduction to data analytics, what is data analytics, who is a data analyst and role & responsibilities of a data analyst. There is a use case in data analytics as well to get hands on knowledge.
Why Data Analytics is important?
Data analysis is an internal organisational function performed by Data Analysts that is more than merely presenting numbers and figures to management. It requires a much more in-depth approach to recording, analyzing and dissecting data, and presenting the findings in an easily-digestible format.
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!
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...
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 sellers fail is that their products’ visibility is low. Most Amazon customers search for a product and choose those that feature in the top results. So, if your product listing does not appear in top Amazon searches, it will not get you the expected amount of sales.
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).
The AMS platform is gaining traction and is rapidly emerging as an effective marketing medium to promote products on Amazon. It is broadly classified into two categories i.e Amazon SEO Services and Amazon PPC. This blog post highlights the important aspects of Amazon SEO and Amazon PPC. Read further to know how you can formulate the most ideal marketing strategy for your Amazon business.
Amazon SEO Improves Organic Ranking
Listing products as per the Amazon Seller Central guidelines does not guarantee improved visibility. Since hundreds of similar products are available in each category, reaching out to potential customers is a challenging task. For this reason, proficiency in Amazon SEO has an impact on product visibility. Amazon SEO improves the organic ranking of your products leading to improvement in sales.
The Amazon Listing optimization Services requires relevant keywords and engaging content to increase click-through ratios (CTRs) and conversion rates (CRs). The A9 algorithm on which Amazon searches work follows a two-step process to deliver results for any search query. In the first step, known as the filtration process, the algorithm filters various products based on the searched keyword. For example, you are selling "shirts" on Amazon, and a customer searches for "white shirts." So including "white shirts" as a keyword in your product title and description, you can optimize your listing for improved search ranking. Moving on to the second step, that is sorting by purchase likelihood, ranks products based on their performance. The products having high CTRs and CRs get ranked higher in comparison to low performing products.
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.
Amazon ranks the remaining products in a specific order based on their performance. The key performance indicators (KPIs) are click-through rate (CTR), conversion rate (CR), and most importantly, sales. Amazon takes these KPIs into account at a keyword level to determine the rank of any product. For example, the iPhone will have different CTRs, CRs, and sales for the keywords "smartphone" and "iPhone."
Amazon SEO can improve your product listings significantly to enhance your product visibility and increase sales. The only drawback with Amazon SEO is that it is a slow process and may take time to rank your product in top Amazon searches. On the contrary, Amazon PPC produces an immediate effect by increasing sales, but only during a small period of time.
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/
How to use Text-To-Speech in Python. In this video, i show you how to use the ttsx3 module in Python 3 to show you how to do text to speech.
In this video, i show you how to use the ttsx3 module in Python 3 to show you how to do text to speech.