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Top 8 Best AI Tool for Text Analysis to Make Your Life Easy

Author: Andy Samue | 2023-11-18

Text analysis, sometimes called text mining or text analytics, is all about making text understandable for computers. And why do you want to make the text understandable to the computers? That’s because it's handy for getting valuable insights from your text data in a time efficient manner. Okay then how can you get AI Text Analysis Tools? You've got two options here: you can either make your own tool using free libraries or buy one that's ready to go.

Since not everyone is tech savvy, we’ve listed down alternative Software as a Service (SaaS) tools. Check out our list of text analyzer tools you can start using right now.

Part 1. What is AI Tool for Text Analysis?

What exactly are AI Text Analysis Tools, you might be asking. Well, these tools can help you with a lot of things that would otherwise take so much time, like finding important words, sorting text into categories based on feelings, topics, or intentions.

Nowadays, we're bombarded with texts from everywhere. Emails, social media, chats, etc., all comprise of text. But see, all these texts are kind of pointless unless you can get something useful out of them. And that's where text analysis software can come in handy. These tools can help you organize large amounts of raw text data and give you actionable insights. These tools use smart AI tech (Natural Language Processing) to pick up on patterns, trends, main ideas, and even feelings in the text.

Part 2. Benefits of using Text Analysis Tools

Businesses use text analysis tools to make sense of tons of unstructured data and maximize their efficiency. Here's how it helps:

  • Through text analysis software, you can check out what people say in their feedback and help make things work better.
  • Sorts and shows you what people are talking about, which helps you answer questions and give customers a good experience.
  • Pairs words to find what's causing trouble, so you can fix things pronto.
  • Uses AI text analyzer to organize incoming stuff by what's urgent, where it's from, or what needs to be done.
  • Turns data into useful info, so you don't have to do so much work, and it saves money.

Check out our top pick from the best text analytics tools to get smart insights from all sorts of data.

Part 3. Top 8 Best Text Analysis Tools for 2023

1. Amazon Comprehend: Best for Pre-trained Models

With Amazon Comprehend, you have the option to use ready-made NLP models or make your own. Whether you choose the pre-made ones or create your custom models, you can do some pretty neat things with your unorganized data.

Features of Amazon Comprehend

  • You can dig out phrases and important stuff from your text, assess texts using qualities and scores, and even organize text based on how it feels or what it's about.
  • If you want to train your own models to spot particular words, you can. It's not hard at all, and you don't need to be a machine learning pro. Just set up your own labels and train the models with a bit of example text.
  • It can identify specific terms related to your field using AutoML and categorizes entity names based on the text you feed it.
  • It can figure out how customers feel in their feedback and helps in hiding personally identifiable information in texts.
  • It pulls out important phrases from your text and gives them a confidence score.

Pros:

  • It's really good at understanding different languages.
  • It can be easily integrated with other services hosted by AWS.
  • The product interface is user-friendly and straightforward.

Cons:

  • It might take some time to learn how to use it effectively.
  • Using it extensively can get a bit pricey.
  • The pre-made models might not cover very specific use cases.

2. Thematic: Best for Analyzing Customers’ Feedback

Thematic is all about using artificial intelligence to understand what your customers are saying. It has three cool AI tools: Thematic Intelligence, Thematic Insights, and Thematic Catalyst.

Key Features of Thematic

  • Thematic Intelligence helps figure out what's important in customer feedback, like sorting it into different topics.
  • Thematic Insights shows you the trends and patterns in those topics.
  • Thematic Catalyst helps you make cool charts and graphs with your data.
  • Thematic is compatible with Zendesk, SurveyMonkey, or your own databases. So, you can get it up and running in no time, usually within a day.

Pros:

  • You get real-time signals on customer problems.
  • It's super detailed in figuring out what customers are talking about.
  • The support team is quick to help when you need it.

Cons:

  • It might take a while to get the hang of it.
  • It's not super quick for analyzing data instantly.
  • It doesn't have a ton of fancy integrations.

3. Relative Insights: Best for Social Listening

Relative Insights is an AI text analysis tool that's all about making life easier for sales, marketing, and HR teams. It uses NLP and comparative linguistics to really understand text data and give you some smart insights.

Companies use it to figure out what people are saying on social media and other places so they can make smart decisions.

Features of Relative Insights

  • It helps you dig into feedback and what your audience is talking about and show the impact of your big plans.
  • It finds the hot topics in social conversations and keeps an eye on what customers are saying and tells you what it all means.

Pros:

  • It's really good at comparing data in an organized way.
  • The platform is easy to use and makes sense.
  • The customer support team is quick to help.
  • It’s multilingual.

Cons:

  • It might take a bit of time to learn how to use it.
  • Getting insights out of it and exporting them can be a bit tricky.
  • It's not super flexible when it comes to comparing different languages.

4. Google Cloud Natural Language API: Best for Training Your Own Machine Learning Model

Google has its own entry into the text analysis game with Google Cloud NLP. This tool is all about helping businesses make sense of messy text and getting clever ideas.

Features of Google Cloud NLP

  • Google Cloud NLP is good at figuring out important terms, analyzing the structure of sentences, spotting feelings, and sorting content into categories. If you want to teach your own machine learning models, you just need some training data to make them understand your special keywords, feelings, and topics.
  • You can link Google's AI tools with your Cloud Storage to make text analysis super smooth.

5. MonkeyLearn: Best for Creating Custom Text Analysis Models

MonkeyLearn is a user-friendly tool that's great at digging into text and finding useful info. You can use it to quickly check out pre-made text models or make your own, so it works just the way you want.

Features of MonkeyLearn

  • MonkeyLearn can figure out how people feel in a message, pull out important words, figure out what someone's trying to say, and even recognize what language is being used.
  • Even if you're new to this kind of tool, MonkeyLearn is easy to handle. You don't need to be a tech expert. Just click around and build your own text tools.
  • It’s compatible with common apps like Google Sheets, Excel, RapidMiner, Zapier, and Zendesk.
  • And even if you're a coder, MonkeyLearn has an API that works with all the major programming languages. So, you can plug it into the tools you're already using without any fuss.

6. WordStat: Best for Extracting Themes and Trends

If you're on the hunt for text analysis software that can handle heaps of unstructured info with accuracy, WordStat is your solution. It's straightforward and adaptable.

Key Features of WordStat

  • This tool can process a whopping 25 million words per minute to tease out themes and spot patterns.

  • With WordStat, you can analyze open-ended responses, gather business intel, scrutinize news coverage, and even detect fraud.

  • When you integrate it with other software, you get the flexibility to analyze text and link it to numerical and categorical data.

7.Microsoft Azure: Best for Key Phrase Extraction

Microsoft Azure is powered by NLP, helping you understand what customers are thinking and picking out important phrases or terms. This free text analysis tool also has applications in the medical field. Here's what it can do and some of its strengths and weaknesses.

Features of Microsoft Azure

  • It can identify various things like events, organizations, people, personal info, and medical terms and it figures out what customers are saying about your brand.
  • Summarizes the overall feelings in a document and even gets insights from unstructured medical text.
  • Helps categorize unstructured text using labels, which can be great for decision-making.

Pros:

  • Its APIs respond quickly, making it efficient.
  • The process of collecting and structuring data is smooth.
  • It's user-friendly and can be scaled as needed.

Cons:

  • Some of the filters might feel a bit old-fashioned.
  • The client libraries can be a bit confusing to navigate.
  • It may take a bit of time to get the hang of it due to a learning curve.

8. Tenorshare AI-PDF Tool: Best for Chatting with PDF

Tenorshare AI - PDF Tool is a standout among AI tools for business. This online tool is like having a conversation with your PDFs. It's super quick at pulling out, locating, and summarizing information from those PDF documents. It's a real game-changer for analyzing financial reports, contracts, legal docs, and more. If you're drowning in lengthy documents, this tool can swoop in, summarize them, and save you loads of time.

But that's not all. You can also ask this tool questions about the content of your PDFs. It gives you accurate and clear answers. And here's the cool part – you can upload up to four files at once, making you a super-efficient PDF buddy.

Tenorshare AI PDF Tool

  • Summarize the various types of large PDF docume
  • Chat with the PDF to get key information accurately
  • Supports simultaneous uploading of multiple documents

Key Features of Tenorshare AI-PDF Tool

  • Easily find what you need with a user-friendly interface.
  • It uses AI for valuable insights, like quickly analyzing financial reports, contracts, and legal documents for business.
  • You can use the chat thread for deep analysis.
  • You can keep a record of chats and history for future reference.

Part 4. AI Tool for Text Analysis FAQs

Q1: What is the difference between text analysis, text mining and text analytics?

Text analysis, text mining, and text analytics are closely related but differ in focus. Text analysis involves examining and understanding text content. Text mining uses algorithms to extract valuable information from text data. Text analytics combines both, using tools to analyze and derive insights from text data.

Q2: What is the Importance of Text Analysis Tools Worth Watching

Text analysis tools are essential for businesses and researchers. They help extract insights from large volumes of text data, aiding in market research, sentiment analysis, and customer feedback. This allows for data-driven decision-making, improved customer experiences, and more effective communication, making them invaluable in today's data-driven world.

Q3: What are the functions or advantages of text analysis? and Drawbacks of Using AI to Analyze Text?

Text analysis provides insights, like sentiment analysis and topic extraction, aiding decision-making, and content categorization. It automates repetitive tasks and processes large data volumes efficiently. However, drawbacks include potential bias in AI models, privacy concerns, and challenges in handling sarcasm or nuanced contexts, which can affect accuracy.

Q4: How to Select the Best Text Analysis Tool?

To choose the best text analysis tool, consider your specific needs, budget, and user-friendliness. Evaluate the tool's accuracy, scalability, and available features like sentiment analysis or language support. Read user reviews and seek recommendations for reliable options. A trial period or free version can help test its suitability for your tasks.

Final Words

All-in-all, text analysis online tools are your pals for understanding big clusters of text data. They help businesses by sorting words, spotting trends, and making sense of customer chatter. But remember, while they save time and money, they might take a bit to learn and can be a tad pricey. So, pick one such as Tenorshare AI - PDF Tool that suits your needs and budget, and you'll be on your way to smarter insights in no time.

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