can anyone please suggest some good text analysis tools that can be integrated with google spreadsheets
person
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4 Answers
Try MonkeyLearn:
Analyze Data in Google Sheets with Text Analysis:
Analyzing text data in a spreadsheet is a nightmare. It’s time-consuming and monotonous, not to mention expensive.
Open-ended responses that you’ve collected from customer surveys, for example, can be incredibly difficult to process, especially if you receive a high volume of responses.
Should you read the answers and tag them one by one? What if you want to know what people are saying about a particular topic? It’s impossible to deliver accurate results on time.
To solve this problem, text analysis with AI is here to help.
Automatically analyze responses to customer surveys, social media comments, or product reviews in Google Sheets. Just connect MonkeyLearn’s text analysis add-on and start gaining insights in next to no time.
In this guide, learn how text analysis can speed up your processes and how to make the most out of no-code text analysis tools.
What is Text analysis?
Text analysis uses machine learning and natural language processing to make sense of large amounts of data and automatically sort it.
Manually processing data is expensive for businesses, especially for large ones. Imagine how much time (and money!) a company like Zoom would have to spend analyzing thousands of reviews every day.
Thanks to text analysis, businesses can carry out analysis tasks much more efficiently. They’re also able to gain valuable insights that human agents might miss.
Text analysis models first need to be trained to understand the human language. But don’t fret, it’s not difficult at all. You’ll just need some tagged samples of your data. Once text analysis tools have been trained with enough samples, they’ll start making predictions on their own.
Why Is Text Analysis Important?
Text analysis tools can analyze data in Google Sheets in seconds, and gain interesting insights that can help your business make data-driven decisions. Let’s take a look at some of the benefits of text analysis in more detail:
It’s scalable. To manually analyze data in Google Sheets, a person would have to read each row and try to make sense of all the information. It could take hours or even days, and the task becomes especially tedious if it has to be done every day! Text analysis can scale down these hours to minutes, or even seconds, so you and your team can spend time on more fulfilling tasks.
Analyzes in real-time. You have less than 60 minutes to prevent negative comments from turning into a crisis. Is there something you can do about it? Sure! Text analysis can detect these issues in real-time by spotting topics such as Problem, Bug, and Slow and classifying them by sentiment. For example, you’ll want to prioritize comments that are classified as Negative and Urgent.
It’s consistent. People naturally have different opinions, feelings, and points of view. Let’s imagine your team needs to tag product reviews in a spreadsheet to understand if they are positive or negative. One agent may think that a comment such as “I absolutely loved the camera, though the pricing was a bit high” is a great review and tag it as Positive. However, another member of your team may tag it as Negative because of the ‘high pricing’ comment.
Human error and inconsistencies mean that your insights are not as accurate as they could be. How can you prevent this from happening? Text analysis analyzes text using one set of rules. When you train a model, you teach it to follow a set of criteria that doesn’t change.
After analyzing why text analysis is useful, it’s time to look at how to analyze your text in Google Sheets.
How to Use Text Analysis in Google Sheets
If you want to get started ASAP, you can use MonkeyLearn – a machine learning platform with a suite of text analysis tools and a Google Sheets text analysis Add-on.
To start analyzing the data in your Google Sheets, you can use one of the pre-trained models. Since they have already been trained, you just need to choose the type of text analysis you want to run and AI will do the rest!
Follow these steps:
1. Install MonkeyLearn’s add-on for Google Sheets
After creating a free account on MonkeyLearn, go to the Google Sheets Add-ons landing page.
MonkeyLearn will need your permission to run, and ask for the permissions:
Finally, you have to connect the MonkeyLearn API to your Google Sheets. First, go to ‘Add-ons’. Then, click on MonkeyLearn ---> Start. You’ll see a menu to the right. There, you’ll have to set up the API key. Click on the link, which will take you to MonkeyLearn’s API page. Just copy and paste the API key, and you are ready to go!
2. Decide on a Model to Use
On MonkeyLearn’s dashboard, you will find different options: a sentiment analysis model, a keyword extractor, an urgency detection model, and more. Choose the one that suits your needs. In this guide, we are going to show you how to use the keyword extractor in detail, but the process is the same for all of the models.
In MonkeyLearn’s add-on for Google Sheets, you’ll see a window on the right-hand side of the screen where you’ll be able to select the model you want to use. In this case, we chose the Keyword Extractor.
3. Run the Analysis and See the Results!
The only thing left to do to analyze data automatically in Google Sheets is to specify the Column or Range of the pieces you want to examine with the model. In this case, we have reviews that go from cell B2 to cell B7. So, you need to add B2: B7 in the Column or Range field.
After this, just click ‘Run’ and that’s it! The model will take a look at all our product reviews and give us the keywords in column C.
And that’s it! Quite simple, right? You can follow the same steps for any of our pre-trained text analysis models available in your dashboard.
Analyze Data in Google Sheets with Text Analysis:
Analyzing text data in a spreadsheet is a nightmare. It’s time-consuming and monotonous, not to mention expensive.
Open-ended responses that you’ve collected from customer surveys, for example, can be incredibly difficult to process, especially if you receive a high volume of responses.
Should you read the answers and tag them one by one? What if you want to know what people are saying about a particular topic? It’s impossible to deliver accurate results on time.
To solve this problem, text analysis with AI is here to help.
Automatically analyze responses to customer surveys, social media comments, or product reviews in Google Sheets. Just connect MonkeyLearn’s text analysis add-on and start gaining insights in next to no time.
In this guide, learn how text analysis can speed up your processes and how to make the most out of no-code text analysis tools.
What is Text analysis?
Text analysis uses machine learning and natural language processing to make sense of large amounts of data and automatically sort it.
Manually processing data is expensive for businesses, especially for large ones. Imagine how much time (and money!) a company like Zoom would have to spend analyzing thousands of reviews every day.
Thanks to text analysis, businesses can carry out analysis tasks much more efficiently. They’re also able to gain valuable insights that human agents might miss.
Text analysis models first need to be trained to understand the human language. But don’t fret, it’s not difficult at all. You’ll just need some tagged samples of your data. Once text analysis tools have been trained with enough samples, they’ll start making predictions on their own.
Why Is Text Analysis Important?
Text analysis tools can analyze data in Google Sheets in seconds, and gain interesting insights that can help your business make data-driven decisions. Let’s take a look at some of the benefits of text analysis in more detail:
It’s scalable. To manually analyze data in Google Sheets, a person would have to read each row and try to make sense of all the information. It could take hours or even days, and the task becomes especially tedious if it has to be done every day! Text analysis can scale down these hours to minutes, or even seconds, so you and your team can spend time on more fulfilling tasks.
Analyzes in real-time. You have less than 60 minutes to prevent negative comments from turning into a crisis. Is there something you can do about it? Sure! Text analysis can detect these issues in real-time by spotting topics such as Problem, Bug, and Slow and classifying them by sentiment. For example, you’ll want to prioritize comments that are classified as Negative and Urgent.
It’s consistent. People naturally have different opinions, feelings, and points of view. Let’s imagine your team needs to tag product reviews in a spreadsheet to understand if they are positive or negative. One agent may think that a comment such as “I absolutely loved the camera, though the pricing was a bit high” is a great review and tag it as Positive. However, another member of your team may tag it as Negative because of the ‘high pricing’ comment.
Human error and inconsistencies mean that your insights are not as accurate as they could be. How can you prevent this from happening? Text analysis analyzes text using one set of rules. When you train a model, you teach it to follow a set of criteria that doesn’t change.
After analyzing why text analysis is useful, it’s time to look at how to analyze your text in Google Sheets.
How to Use Text Analysis in Google Sheets
If you want to get started ASAP, you can use MonkeyLearn – a machine learning platform with a suite of text analysis tools and a Google Sheets text analysis Add-on.
To start analyzing the data in your Google Sheets, you can use one of the pre-trained models. Since they have already been trained, you just need to choose the type of text analysis you want to run and AI will do the rest!
Follow these steps:
1. Install MonkeyLearn’s add-on for Google Sheets
After creating a free account on MonkeyLearn, go to the Google Sheets Add-ons landing page.
MonkeyLearn will need your permission to run, and ask for the permissions:
Finally, you have to connect the MonkeyLearn API to your Google Sheets. First, go to ‘Add-ons’. Then, click on MonkeyLearn ---> Start. You’ll see a menu to the right. There, you’ll have to set up the API key. Click on the link, which will take you to MonkeyLearn’s API page. Just copy and paste the API key, and you are ready to go!
2. Decide on a Model to Use
On MonkeyLearn’s dashboard, you will find different options: a sentiment analysis model, a keyword extractor, an urgency detection model, and more. Choose the one that suits your needs. In this guide, we are going to show you how to use the keyword extractor in detail, but the process is the same for all of the models.
In MonkeyLearn’s add-on for Google Sheets, you’ll see a window on the right-hand side of the screen where you’ll be able to select the model you want to use. In this case, we chose the Keyword Extractor.
3. Run the Analysis and See the Results!
The only thing left to do to analyze data automatically in Google Sheets is to specify the Column or Range of the pieces you want to examine with the model. In this case, we have reviews that go from cell B2 to cell B7. So, you need to add B2: B7 in the Column or Range field.
After this, just click ‘Run’ and that’s it! The model will take a look at all our product reviews and give us the keywords in column C.
And that’s it! Quite simple, right? You can follow the same steps for any of our pre-trained text analysis models available in your dashboard.
You can use "MonkeyLearn" a machine learning platform with a suite of text analysis tools and a google sheets text analysis add-on. It allows users to easily get actionable data from raw text. You can upload CSV/Excel files or connect with your apps. Text may come in various formats such as Emails, Support Tickets, Reviews, NPS feedback, Surveys, and Social Media.