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9 Best Text Analytics and Search Tools Businesses Should Try

In order for any company to survive in this period, it is necessary to obtain important information about its customers and other stakeholders through text analysis.

When structured and unstructured data about an organization is abundant, it is not useful unless you can analyze it to gain insight into decision making.

This is where text analysis and research tools come into play. Text analysis software can locate patterns and trends from raw text data and provide statistical patterns.

Before we get into the details of text analysis tools, let’s get familiar with text analysis technology and its applications.

What is text analysis and mining?

Text analysis refers to the process of gathering meaningful insights from raw textual data. This means extracting user opinions and valuable data from customer feedback and feedback to make informed decisions.

Text analysis is a general term used to refer to activities including text extraction, identification, categorization, parsing, entity relationship modeling, and clustering.

Although data analysis and data mining come from different streams of research, the terms are now used interchangeably because both refer to the collection of data using different statistical approaches.

Text analysis provides qualitative insight into customer reviews by identifying sentiment in any text of any form. On the other hand, you will see applications of machine learning and NLP technology in text mining to extract information from structured data.

Text Analysis and Mining Software Use Cases

You will find use of text analysis tools in the following cases:

1. Fast interpretation of large documents

These tools are typically used to interpret unstructured data from documents such as email, chats, social channels, messages, and reviews. While manual analysis of a large volume of documents can take months, text analysis software can do it in an hour.

2. Monitor customer feedback in real time

Customer comments and reviews can appear anywhere on the internet. Text analysis software can monitor feedback 24/7 and take necessary action against negative reviews and posts.

3. Understanding the employee’s opinion

Companies are also using text mining tools to improve their organizational strategy by checking employee feedback and understanding their grievances.

Check out the list of the best text analysis tools:

Amazon Understand

Amazon Understand is a text analysis tool that can extract valuable information from documents through research and analysis. It uses machine learning technology to discover valuable information and connections in text.

Some of the most important attributes of this platform are language detection, keyword extraction, sentiment analysis, topic modeling and syntax analysis. You can use it for document analysis, product reviews, customer service requests, email and social platforms.

Using this platform will simplify the circulation of documents related to document processing. Strictly regulates access to your documents through personal data.

It’s very easy to start this tool – even with no previous experience, you can start using it in minutes. Organizations using different AWS services can seamlessly integrate this tool into their workflow.

Thematic

For any customer-centric business, analyzing customer feedback and support data is essential. Thematic is text analytics software that provides a central and common space to connect and understand customer feedback.

It allows you to check the value of the feedback and get valuable information almost in real time. By leveraging this word processing tool’s artificial intelligence, fast-growing businesses can locate recurring themes and themes in customer feedback data.

The theme uses the latest sentiment analysis technology to transform unstructured user feedback into valuable insights.

In addition, the software also analyzes the impact of the data on your metrics and presents an analysis report with a simple infographic.

It supports one-click integration with popular customer surveys and supports apps like SurveyMonkey, Discourse, Zendesk, Trustpilot and Medallia to collect data from online reviews, support chat and surveys.

Google Cloud

Google Cloud NLP is the perfect text analytics platform for businesses looking for a service that is compatible with Google Cloud Storage. It also supports integration with Google Workspace applications.

This tool uses Google’s machine learning technology to extract information from raw text. Organizations can use it for content classification, sentiment analysis, unit extraction and parsing.

With this software, you can find and mark fields in documents such as chats, emails, and social media posts through unit analysis. It also allows you to understand customer feedback through sentiment analysis.

In addition to extracting information, the application also offers features such as text analysis and storage. It can also locate domain-specific entities in documents using custom entity extraction.

Chatterbox

Chattermill is a text analysis tool that uses artificial intelligence to ensure the growth of your business and the loyalty of your customers. It aggregates data from various sources of feedback and customer interactions into one easy-to-use collaboration platform.

To ensure this, Chattermill supports integration with Trustpilot, Typeform, Google Play, App Store, SurveyMonkey, Slack, Ask Nicely, Survey Gizmo, Reviews.io, Zendesk and many other apps.

It uses motive and sentiment AI to understand how customers feel about your product and brand, while finding the root cause of recurring themes. After analyzing the signals, it can perfectly identify and predict ways to generate revenue and retain customers coming from each touch point.

Businesses can use this tool to process content in all major languages, including English, French, Spanish, German, Russian, Arabic and Mandarin.

Voyant tools are popular primarily among researchers in the humanities. However, you can also use it as a tool to analyze the text on the page. This platform has a simple interface and performs various analytical tasks.

You can use its functions to visualize data from website analytics. But it cannot be used for in-depth text analysis.

Monkey Learns

Do you want to use any text analysis SaaS software that is easy to customize and can be easily integrated with your existing tools? If so, MonkeyUk should be your platform for quantitative content analysis.

It is a robust text mining software that can analyze any type of unstructured text data including text documents, online reviews, survey responses, user feedback and social media conversations.

Thanks to advanced machine learning algorithms and natural language processing (NLP), this platform will enable precise text analysis.

If you use MonkeyLearn for text mining, you can integrate it with applications such as Google Sheets, Microsoft Excel, Zendesk, Google Forms, Airtable, HelpScout, and Zapier.

This web software comes with useful attributes like sentiment analysis, keyword extraction, NPS feedback analysis and email response classification.

Keatext

When it comes to choosing a user experience tool for analyzing unstructured data from multiple sources, Keatext is the tool for you. If you belong to a non-profit organization or university, it even offers you a free version.

Whether you want to analyze social media conversations, emails or surveys, this cloud-based text analytics software can do it efficiently using machine learning and artificial intelligence.

Now you can get rid of the tedious task of manually analyzing data and let Keatext tell you what to pay attention to if you want to improve your user experience.

In addition to the above features, this tool also allows you to collect feedback in multiple languages ​​and visualize data in different ways.

WordStat

Are you looking for text analysis software that can process large amounts of unstructured information with high precision? Use WordStat, a simple and flexible text analysis tool.

It can process 25 million words per minute to extract motifs and identify patterns. It explores documents to quickly identify themes and trends and performs precise quantitative content analysis.

Moreover, you can use it to analyze open-ended responses, generate business intelligence data, explore information relationships, and detect fraud.

It is also compatible with various other tools. When you use them together through integration, you can enjoy the greatest flexibility in analyzing text and relating it to numerical and categorical data.

RapidMiner

If you think data is just numbers and numbers, RapidMiner is here to prove you wrong. It is a powerful text mining tool that you can use to perform layout and model operations. It uses artificial intelligence for text analysis and text analysis to gather information that will benefit your business.

These insights you’ll gain from qualitative and textual content will help you improve in a variety of sectors including product development, marketing and risk management.

Some of the enriching sources of raw text are online reviews, patent applications, scientific journals, social media, call center transcripts, and application forms.

RapidMiner informs you about customer attitudes toward your products and services, so your business can move forward toward achieving your organizational mission.

Application

Text analysis tools can help you analyze text data from email, social platforms, online reviews, and large Internet documents. Companies can also use these apps to get an accurate picture of the public and the perception of their brand or product.

As insights gleaned from text mining software are key to making better business decisions, more and more organizations are interested in them.

Whether you want to extract keywords, analyze sentiment, or perform entity extraction, there are various text analysis tools on the market for these tasks.

In this article, we have discussed some of the best text analysis tools in the text analysis and search software industry. You can select one or more from the list depending on your requirements.

If you want to build your own text analysis software, you can try any of these low-code or no-code platforms.

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