The SimpleX is an AI–powered smart console that helps you quickly analyze and sort text data, without coding. The SimpleX is designed to help you make sense of text data with its easy–to–use interface and powerful features. The SimpleX is perfect for anyone who needs to quickly analyze and sort text data, without coding. Best Analyze text data faster.
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Take care of textual data with a code-free interface that understands regular speech. You won’t see me using a spreadsheet ever again.
If you’re working with text data, you know how important it is to be able to quickly analyze and sort that data. The problem is, if you’re not a coder, it can be difficult to do that analysis. That’s where SimpleX comes in.
SimpleX is an AI-powered smart console that helps you quickly analyze and sort text data, without coding. That means you can get the insights you need from your data, without having to learn how to code.
SimpleX is easy to use. Just upload your data and SimpleX will take care of the rest. Within minutes, you’ll have a sorted and analyzed list of your data, ready for you to use.
If you’re working with text data, SimpleX is the tool you need to get the insights you need, without learning how to code.
I think the SimpleX is great and very easy to use.
Hundreds of text replies may be searched, filtered, sorted, and compared in an instant with the help of SimpleX and its semantic AI.
Use the quick mode to import text data from any spreadsheet, or take use of the helpful step-by-step wizard.
Accessing information gleaned from consumer surveys and comments is made simple using Zapier and Google connectors.
The best part is that this control panel understands 50 different languages for text processing, including Arabic, Chinese, Japanese, and all European languages!
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Make the most of open questions in surveys and easily pull out key insights.
Bring in answers in free text and let semantic A.I. do most of the work (keywords, topics, sentiment…). You can search for, sort, and filter data in different ways to find and share the most important results.
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Engage and Pulse surveys contain a lot of valuable information that you should be able to find.
A.I. will help you find quotes and comments. to know what makes employees unhappy and what drives them. Find important patterns and weak signals.
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Implement customer feedback.
Observe more than just customer reviews, NPS, and satisfaction levels. Connect customer reviews to SimpleX to identify the causes of both positive and negative reviews. Use pre-trained or custom models to categorize reviews.
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Highlight and retain a record of important conclusions from online discussions, brainstorming sessions, or remote seminars.
the history of team chats or posts from online meeting platforms. Sort, tag, and keep track of the best proposals, thoughts, and comments.
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Use a simple, AI-enhanced tool to import text data in numerous languages from any source.
Keywords, sentiment analysis, & originality scores can all be applied to data automatically using SimpleX.
You can easily find what you’re looking for with the help of custom tags that will enhance search and filtering.
Whether you’re looking to organize employee feedback, discover often used terms, or locate similar quotations, you’ll have no trouble gleaning valuable information.
You may also import team posts from meeting and white-boarding tools to compile and share critical findings and takeaways.
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Tag, keyword, and sentiment score your bespoke text data using semantic AI.
In order to facilitate meaning-based searches in text data, SimpleX employs Natural Language Processing (NLP), setting it apart from traditional spreadsheet applications.
To see the survey responses that are most like the one you selected, the platform will do the translation for you, regardless of the language they were written in.
You will also be given suggestions for additional answers and subjects, as well as the ability to organize responses into your own categories.
Plus, if things get too overwhelming, SimpleX can step in and help you organize the remaining responses into categories based on your previous efforts.
Artificial intelligence is being used more and more to help organisations make sense of their text data. In this article we’ll explore how AI can be used to analyse text data, and some of the benefits that it can bring.
Organisations generate a huge amount of text data every day, from customer support conversations to social media posts. This data can be extremely valuable, but it can also be very difficult to make sense of. This is where AI comes in.
AI can be used to automatically analyse text data and extract insights that would be difficult or impossible to find manually. For example, AI can be used to identify trends in customer support queries, or to automatically generate summaries of long documents.
AI is also very good at spotting patterns that human beings might miss. This means that it can be used to identify things like sentiment (whether a piece of text is positive or negative) or intent (what the author is trying to achieve).
There are many different AI techniques that can be used for text analysis, including natural language processing (NLP) and machine learning. NLP is a branch of AI that is concerned with understanding human language, while machine learning is a method of teaching computers to identify patterns in data.
Both NLP and machine learning can be used to build systems that automatically analyse text data and extract insights. However, NLP is usually better at understanding the meaning of text, while machine learning is usually better at finding patterns.
The benefits of using AI to analyse text data are numerous. AI can help organisations to save time and money, and to make better decisions. It can also help organisations to improve their customer service, and to better understand their customers.
If you’re looking for a way to make sense of your organisation’s text data, then AI is definitely worth considering.
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Text analysis is the process of converting unstructured text data into structured data for further analysis. There are a variety of text analysis techniques that can be used to achieve this, ranging from simple regular expression-based approaches to more sophisticated natural language processing (NLP) techniques.
One of the most basic text analysis techniques is to simply count the number of occurrences of each word in a document. This can be done using a simple for loop in most programming languages. This approach can be useful for simple tasks such as finding the most common words in a document, but quickly becomes impractical for larger documents.
More sophisticated text analysis techniques make use of NLP to extract information from text data. NLP techniques can be used to identify named entities such as people, places, organizations, and so on. They can also be used to identify the relationships between these entities. For example, NLP can be used to identify sentences that contain two people who are talking to each other, or sentences that mention a person and their location.
Text analysis techniques are becoming increasingly important as the amount of text data continues to grow at an exponential rate. They provide a way to convert this unstructured data into a form that can be easily analyzed and used to generate insights.
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Processing, producing, and sharing insights from text data are all significantly sped up when using SimpleX. Regarding access to the various features as well as the monthly credit allotment for text answers, the SimpleX plans vary. Please see our Pricing page as well.
SimpleX never uses any customer information for profit. When email sign up is chosen, the only user personal information that is gathered is the user’s email address, which is only used for access and transactional correspondence. Check out the SimpleX Privacy statement.
Since we are a French-based business, we abide by all EU data privacy rules in all of our operations. More information on the benefits of EU data protection standards can be found here.
Nearly all of the European languages, major Asian languages including Japanese, Korean, and Chinese, as well as Arabic & Hebrew, are all supported by SimpleX. In the near future, more languages will be accessible.
For the Pay per Use, Pro, and Advanced plans on SimpleX, a survey can include a maximum of 1,000 lines and 10,000 lines, respectively. There is a 1,000 import cap per transaction, with the Advanced plan allowing for multiple imports.
Click here to see other pricing plans
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With the use of Natural Language Processing, we can now search for and categorize answers based on their significance (NLP).
With SimpleX, you have access to all the tools you need to create reports that can be shared with your team and used to make more informed decisions.
Add interactive elements like live charts, word clouds, and subject treemaps to your presentations to help your audience better grasp your points.
Just by clicking a few buttons, you’ll have access to pre-made topic and keyword lists, as well as detailed tables packed with sophisticated information.
Their survey database is cross-searchable, so you can quickly find any statistic or quote you need.
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