Not all data is numerical. There are important insights to be found through surveys, reviews, and other textual data. However, it can be time-consuming and difficult to comb through text to uncover those insights. We’re changing that with a new suite of text analysis capabilities that make Excel a one-stop shop for analyzing your text data, whether you want quick and easy insights or deep analysis. Combined with Excel’s power for numerical analysis and data visualization, you’ll be able to get actionable insights from text like never before. Here are three new features that you can use to analyze your text data.
Copilot in Excel
Copilot can help you analyze a column of text data with ease. You can do all of the following simply by typing a prompt.
1. Get a high-level summary of the text including themes
Within a few minutes, Copilot can scan your text data and return a summary of the text and a list of themes. You can ask for a specific length, tone, or focus area in your prompt.
Copilot response showing feedback topics
2. Run sentiment analysis (coming soon)
Copilot can identify sentiments in your text data, summarizing insights for each sentiment.
Copilot response with sentiment analysis
3. See sources for text analysis (coming soon)
Text analysis results include sources from your data so you can validate results and don’t have to spend extra time searching for examples.
Source information from Copilot
4. Add a column with themes or sentiment (coming soon)
Once you have a topic list or sentiment analysis, Copilot can insert a column to your dataset with a label for each of your text items.
Inserting a topic column with Copilot
Then, you can ask for charts or PivotTables to help you find deeper insights about top issues or trends.
Text analysis is currently available for datasets with up to about 3000 rows. Support for larger datasets is coming soon. Copilot understands multiple languages without requiring translation.
Python in Excel
Perform customized text analysis using Python in Excel. With access to the NLTK library, the possibilities for manipulation and analysis of text are endless.
Text visualizations created using NLTK
You can create a word cloud from your text data to visualize patterns in word frequency.
Python code using the WordCloud libraryWord cloud visualizing word frequencies from a text dataset
All of this is made easy using Copilot in Excel with Python. Just ask Copilot to analyze your text with Python, and Copilot will write the code for you.
Sentiment analysis using Copilot in Excel with Python
Finally, we have added new functions that allow you to manipulate text directly.
Regex functions unlock powerful pattern matching capabilities. REGEXTEST identifies whether text matches a particular pattern.
Checking whether the strings in column C contain numerical digits, using the regex pattern “[0-9]”
Use the REGEXEXTRACT function to extract strings from your text according to a pattern.
Extracting names from text using the pattern "[A-z]+ [A-z]+", which matches two groups of alphabet characters separated by a space
REGEXREPLACE can replace text that matches a pattern with a string of your choice.
Replacing the first three digits of each phone number with ***, using the pattern “[0-9]{3}-”, which matches against three numerical digits followed by “-“
Have text data in multiple languages? You can now translate text directly in Excel. With the TRANSLATE function, you can use Microsoft Translation Services on your data without leaving the Excel grid.
Using the TRANSLATE function to translate Japanese reviews to English
*Disclaimer: If you try these types of prompts and they do not work as expected, it is most likely due to our gradual feature rollout process. Please try again in a few weeks.
Your feedback helps shape the future of Excel. Please leave a comment below with thoughts or questions on content related to this blog post. Additionally, please let us know how you like a particular feature and what we can improve upon—"Give a compliment" or "Make a suggestion". You can also submit new ideas or vote for other ideas via Microsoft Feedback.
The most useful words in this blog, for me are 'Coming soon'.
I have been trying for days to get coPilot to do per-row text analysis, as chatGPT as been able to do for well over a year. Frustrated because CoPilot was making a complete hash of it, I did some googling and found this training presentation from Microsoft itself, which demonstrates doing precisely what I was looking for, but which didn't work for me. I contacted MS support and the very helpful rep there has been helping me try to get this to work, has tried my data on copilot on his machine etc - we all have the same problem.
So now, from this blog, and this blog alone, I discover that this feature is not available in Excel.
For those interested, with a lot of effort, you can get standalone Copilot365 to get somewhere close but with so many bugs, glitches and inconsistencies that you'd probably be quicker doing it manually. In fact, on several occasions Excel CoPilot itself has kindly told me how I can do text analysis by hand.
Tip for Microsoft, when advertising or demonstrating or training on features in your products, if those features are not available, please tell people.
Hi Olivia, it is such an insightful article which definitely stands out among the similar articles because of quick actionable steps with a real life example that will help people with limited tech knowledge to quickly grasp the expected outcome without having to decipher tec jargons. Also i liked the writing flow that is smooth, lucid and agile which certainly aligns with the intent of professionals at work who are looking for immediate help on a specific task puzzling them at the moment- something not uncommon for analysis, reasoning and deciphering what the stats actually suggest.
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Learn about Excel's new suite of text analysis tools that can help you unlock a world of insights from your text data.
","body":"
Not all data is numerical. There are important insights to be found through surveys, reviews, and other textual data. However, it can be time-consuming and difficult to comb through text to uncover those insights. We’re changing that with a new suite of text analysis capabilities that make Excel a one-stop shop for analyzing your text data, whether you want quick and easy insights or deep analysis. Combined with Excel’s power for numerical analysis and data visualization, you’ll be able to get actionable insights from text like never before. Here are three new features that you can use to analyze your text data.
\n
\n
Copilot in Excel
\n
Copilot can help you analyze a column of text data with ease. You can do all of the following simply by typing a prompt.
\n
\n
1. Get a high-level summary of the text including themes
\n
Within a few minutes, Copilot can scan your text data and return a summary of the text and a list of themes. You can ask for a specific length, tone, or focus area in your prompt.
\nCopilot response showing feedback topics\n
\n
2. Run sentiment analysis (coming soon)
\n
Copilot can identify sentiments in your text data, summarizing insights for each sentiment.
\nCopilot response with sentiment analysis\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
3. See sources for text analysis (coming soon)
\n
Text analysis results include sources from your data so you can validate results and don’t have to spend extra time searching for examples.
\nSource information from Copilot\n
\n
4. Add a column with themes or sentiment (coming soon)
\n
Once you have a topic list or sentiment analysis, Copilot can insert a column to your dataset with a label for each of your text items.
\nInserting a topic column with Copilot\n
Then, you can ask for charts or PivotTables to help you find deeper insights about top issues or trends.
\n
\n
Text analysis is currently available for datasets with up to about 3000 rows. Support for larger datasets is coming soon. Copilot understands multiple languages without requiring translation.
\n
\n
Python in Excel
\n
Perform customized text analysis using Python in Excel. With access to the NLTK library, the possibilities for manipulation and analysis of text are endless.
\nText visualizations created using NLTK\n
You can create a word cloud from your text data to visualize patterns in word frequency.
\nPython code using the WordCloud libraryWord cloud visualizing word frequencies from a text dataset\n
All of this is made easy using Copilot in Excel with Python. Just ask Copilot to analyze your text with Python, and Copilot will write the code for you.
\nSentiment analysis using Copilot in Excel with Python\n
Finally, we have added new functions that allow you to manipulate text directly.
\n
Regex functions unlock powerful pattern matching capabilities. REGEXTEST identifies whether text matches a particular pattern.
\nChecking whether the strings in column C contain numerical digits, using the regex pattern “[0-9]”\n
\n
Use the REGEXEXTRACT function to extract strings from your text according to a pattern.
\n\n
Extracting names from text using the pattern \"[A-z]+ [A-z]+\", which matches two groups of alphabet characters separated by a space
\n\n
\n
REGEXREPLACE can replace text that matches a pattern with a string of your choice.
\n\n
Replacing the first three digits of each phone number with ***, using the pattern “[0-9]{3}-”, which matches against three numerical digits followed by “-“
\n\n
\n
Have text data in multiple languages? You can now translate text directly in Excel. With the TRANSLATE function, you can use Microsoft Translation Services on your data without leaving the Excel grid.
\nUsing the TRANSLATE function to translate Japanese reviews to English\n
*Disclaimer: If you try these types of prompts and they do not work as expected, it is most likely due to our gradual feature rollout process. Please try again in a few weeks.
\n
Your feedback helps shape the future of Excel. Please leave a comment below with thoughts or questions on content related to this blog post. Additionally, please let us know how you like a particular feature and what we can improve upon—\"Give a compliment\" or \"Make a suggestion\". You can also submit new ideas or vote for other ideas via Microsoft Feedback.
Not all data is numerical. There are important insights to be found through surveys, reviews, and other textual data. However, it can be time-consuming and difficult to comb through text to uncover those insights. We’re changing that with a new suite of text analysis capabilities that make Excel a one-stop shop for analyzing your text data, whether you want quick and easy insights or deep analysis. Combined with Excel’s power for numerical analysis and data visualization, you’ll be able to get actionable insights from text like never before. Here are three new features that you can use to analyze your text data.
\n
\n
Copilot in Excel
\n
Copilot can help you analyze a column of text data with ease. You can do all of the following simply by typing a prompt.
\n
\n
1. Get a high-level summary of the text including themes
\n
Within a few minutes, Copilot can scan your text data and return a summary of the text and a list of themes. You can ask for a specific length, tone, or focus area in your prompt.
\nCopilot response showing feedback topics\n
\n
2. Run sentiment analysis (coming soon)
\n
Copilot can identify sentiments in your text data, summarizing insights for each sentiment.
\nCopilot response with sentiment analysis\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
3. See sources for text analysis (coming soon)
\n
Text analysis results include sources from your data so you can validate results and don’t have to spend extra time searching for examples.
\nSource information from Copilot\n
\n
4. Add a column with themes or sentiment (coming soon)
\n
Once you have a topic list or sentiment analysis, Copilot can insert a column to your dataset with a label for each of your text items.
\nInserting a topic column with Copilot\n
Then, you can ask for charts or PivotTables to help you find deeper insights about top issues or trends.
\n
\n
Text analysis is currently available for datasets with up to about 3000 rows. Support for larger datasets is coming soon. Copilot understands multiple languages without requiring translation.
\n
\n
Python in Excel
\n
Perform customized text analysis using Python in Excel. With access to the NLTK library, the possibilities for manipulation and analysis of text are endless.
\nText visualizations created using NLTK\n
You can create a word cloud from your text data to visualize patterns in word frequency.
\nPython code using the WordCloud libraryWord cloud visualizing word frequencies from a text dataset\n
All of this is made easy using Copilot in Excel with Python. Just ask Copilot to analyze your text with Python, and Copilot will write the code for you.
\nSentiment analysis using Copilot in Excel with Python\n
Finally, we have added new functions that allow you to manipulate text directly.
\n
Regex functions unlock powerful pattern matching capabilities. REGEXTEST identifies whether text matches a particular pattern.
\nChecking whether the strings in column C contain numerical digits, using the regex pattern “[0-9]”\n
\n
Use the REGEXEXTRACT function to extract strings from your text according to a pattern.
\n\n
Extracting names from text using the pattern \"[A-z]+ [A-z]+\", which matches two groups of alphabet characters separated by a space
\n\n
\n
REGEXREPLACE can replace text that matches a pattern with a string of your choice.
\n\n
Replacing the first three digits of each phone number with ***, using the pattern “[0-9]{3}-”, which matches against three numerical digits followed by “-“
\n\n
\n
Have text data in multiple languages? You can now translate text directly in Excel. With the TRANSLATE function, you can use Microsoft Translation Services on your data without leaving the Excel grid.
\nUsing the TRANSLATE function to translate Japanese reviews to English\n
*Disclaimer: If you try these types of prompts and they do not work as expected, it is most likely due to our gradual feature rollout process. Please try again in a few weeks.
\n
Your feedback helps shape the future of Excel. Please leave a comment below with thoughts or questions on content related to this blog post. Additionally, please let us know how you like a particular feature and what we can improve upon—\"Give a compliment\" or \"Make a suggestion\". You can also submit new ideas or vote for other ideas via Microsoft Feedback.
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Learn about Excel's new suite of text analysis tools that can help you unlock a world of insights from your text data.
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Text Analysis in Excel","moderationData":{"__ref":"ModerationData:moderation_data:4387261"},"body":"
The most useful words in this blog, for me are 'Coming soon'.
I have been trying for days to get coPilot to do per-row text analysis, as chatGPT as been able to do for well over a year. Frustrated because CoPilot was making a complete hash of it, I did some googling and found this training presentation from Microsoft itself, which demonstrates doing precisely what I was looking for, but which didn't work for me. I contacted MS support and the very helpful rep there has been helping me try to get this to work, has tried my data on copilot on his machine etc - we all have the same problem.
So now, from this blog, and this blog alone, I discover that this feature is not available in Excel.
For those interested, with a lot of effort, you can get standalone Copilot365 to get somewhere close but with so many bugs, glitches and inconsistencies that you'd probably be quicker doing it manually. In fact, on several occasions Excel CoPilot itself has kindly told me how I can do text analysis by hand.
Tip for Microsoft, when advertising or demonstrating or training on features in your products, if those features are not available, please tell people.
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Hi Olivia, it is such an insightful article which definitely stands out among the similar articles because of quick actionable steps with a real life example that will help people with limited tech knowledge to quickly grasp the expected outcome without having to decipher tec jargons. Also i liked the writing flow that is smooth, lucid and agile which certainly aligns with the intent of professionals at work who are looking for immediate help on a specific task puzzling them at the moment- something not uncommon for analysis, reasoning and deciphering what the stats actually suggest.
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