Are you looking for a fast and efficient work pace while analyzing large amounts of text? Then these alternatives to AWS Text may be just what you’re looking for!
Text analysis is a field of computer science and linguistics concerned with the interactions between computers and human languages. It often involves natural language processing, but can also be related to speech recognition and machine translation.
That is why the purpose of text analysis usually is to answer questions about the text. For example, you may want to know how many times a word appears in a document or how many times two words appear together.
A text analysis API offers developers a way to extract valuable information from text. They allow you to analyze and understand the content of a document, get insights into the author and their intent and extract data from unstructured data.
Now, Amazon provides text analytics services (AWS Textract), but the product they offer is far from perfect. For example, most of their tools are paid, and they do not offer free options feasible enough to test the true capabilities of their AI.
if you really want to improve your work rate while analyzing mountains of text, using an intuitive and affordable tool, we have some recommendations for you. That is why we recommend you try out these alternatives to AWS Text today!
1. Klazify
Klazify is one of the most dependable classification APIs on the market today. It’s an all-in-one domain data source that makes it simple to extract clean, well-organized data.
Using a URL or email, you can get everything you desire. Any aspects that spring to mind: logos, corporate information, locations, and so on. Also, create a search engine that categorizes online sites and businesses based on their expertise. Its mission is to find, rate, and categorize the best websites on the internet (up to 3 levels).
With the information offered by Klazify, you may take essential steps like refining your data, determining which activities and strategies are effective and which are not, and more.
For additional information, go to https://www.klazify.com/#faq
2. Webshrinker
Webshrinker uses domain intelligence tools that have categorized more than 380 million websites, and re-scan the web every 5 days. No other feed detects and categorizes new sites faster. Also, uses image and logo scanning technology to detect fresh scams and malware images.
Webshrinker powers web filtering, endpoint protection, rich ad targeting, and contextual safety for millions of users around the world and categorizes billions of domains every day using artificial intelligence. Then validate site categorizations using human intelligence.
3. Natural Language Toolkit
This API is primarily for educational and research purposes. As a result, it’s jam-packed with useful resources including data sets, pre-trained models, and a textbook to get you started.
It does, however, have some limitations. This may not be the ideal option if you need to examine and extract data from particularly complex data sources.
This API, on the other hand, will be highly useful if you want to text analyze and categorize more basic sources. In the end, it all comes down to your requirements.
Which One Should I Choose?
Now that you know these alternatives to AWS text, and have these three fantastic options to choose from, go ahead and try them all out and pick the one that seems the most useful to you!
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Also published on Medium.