How to Extract Keywords from Text in Excel?

An image illustrating the application of Excel formulas to distinguish and extract keywords from blocks of text.

How to Extract Keywords from Text in Excel?

It is also possible to extract text from an Excel document instead of just keyword extraction. Here are basic tutorials to extract keywords from Excel for beginners:

Using the Text to Columns feature:

  • Select the column containing the text you want to extract keywords from.
  • Go to the Data tab and click on Text to Columns.
  • Select Delimited and click Next.
  • Select the delimiter that separates the keywords (e.g., space, comma) and click Next.
  • Select the destination cell for the keywords and click Finish.

Using the LEFT, RIGHT, and MID functions:

Here’s how you can extract text using LEFT, RIGHT and MID functions:

  • Use the LEFT function to extract the first few characters of each word in the text.
  • Use the RIGHT function to extract the last few characters of each word in the text.
  • Use the MID function to extract characters from the middle of each word in the text.
  • Combine the extracted characters using the CONCATENATE or “&” operator to create the keywords.

Using the FIND and LEN functions:

  • Use the FIND function to locate the position of each delimiter in the text.
  • Use the LEN function to determine the length of each keyword.
  • Use the MID function to extract each keyword based on the delimiter positions and keyword lengths.

Using third-party add-ins or plugins:

  • There are many third-party add-ins and plugins available for Excel that extract keywords from text, such as Power Pivot, Power Query, and ASAP Utilities.

Why Should You Extract Keywords from a Text?

Keyword extraction from a text is useful for several reasons:

  1. Search engine optimization (SEO): If you have a website or blog, using relevant keywords in your content help improve your search engine rankings and make it easier for people to find your content.
  2. Data analysis: Extracting keywords from a text helps you identify common themes or topics in a large dataset. This is useful for market research, sentiment analysis, and other types of data analysis.
  3. Content categorization: By extracting keywords from text, categorize and organize your content more effectively. This makes it easier to find and retrieve specific pieces of information and also helps you identify gaps or redundancies in your content.
  4. Text analysis and summarization: Extracting keywords also is used to summarize the main points or themes of a piece of text. This is useful for quickly understanding the content of a document or article, or for creating an abstract or summary of a longer piece of writing.

How to Extract Keywords Using A Custom Extractor API in Python in Excel?

  1. Install the necessary Python packages: To use a custom extractor API in Python, you will need to install the necessary Python packages. This varies depending on the specific API you are using, but common packages include requests, JSON, and pandas.
  2. Obtain an API key: To access the API, you will need to obtain an API key. This typically involves signing up for an account on the API provider’s website and following their instructions for obtaining an API key.
  3. Write Python code to extract keywords: Using the API documentation and your knowledge of Python, write code that sends a request to the API and extracts the relevant keywords from the response. This involves using functions such as requests.get() to send the request, JSON.loads() to parse the JSON response, and pandas to organize the data.
  4. Import the Python code into Excel: Once you have written the Python code to extract keywords, import it into Excel using the xlwings package. This allows you to run the Python code directly from Excel and import the extracted keywords into an Excel worksheet.
  5. Run the Python code in Excel: Once you have imported the Python code into Excel, run it by clicking on a button or typing a command in a cell. The extracted keywords will then be added to the worksheet, where you manipulate them as needed.

How to Extract Any Words from A Sentence in Excel?

  • Click on the Developer tab.
  • Click On Visual Basic.
  • Click “Insert” and then “Module”.
  • Write the code.
  • Close the VBA.
  • Write the custom Excel formula and press enter.

Custom Formula:

  • To Extract 1st word of a text write =ExtractWords(A2,1)
  • To Extract 2nd word of a text write =ExtractWords(A2,2)
  • To Extract 3rd word of a text write =ExtractWords(A2,3)
  • To Extract 4th word of a text write =ExtractWords(A2,4)
  • To Extract 5th word of a text write =ExtractWords(A2,5)
  • To Extract 6th word of a text write =ExtractWords(A2,6)
  • To Extract 7th word of a text write =ExtractWords(A2,7)
  • To Extract 8th word of a text write =ExtractWords(A2,8)
  • To Extract 9th word of a text write =ExtractWords(A2,9)
  • To Extract 10th word of a text write =ExtractWords(A2,10)

Here A2 is the cell where the text strings are placed. and 1…10 is the number of the word order. In this way, extract the nth word of any text or sentence in excel.

For more detailed information, consult ChatGPT. Machine learning tools’ algorithms allow users to find more information with their advanced search function.

Is Custom Formula the Same with Array Formula?

A custom formula is a formula that you create yourself using functions and operators in a spreadsheet program, such as Excel or Google Sheets.

On the other hand, an array formula is a formula that operates on multiple values in an array or range of cells. An array formula is used to perform calculations on multiple rows or columns of data simultaneously, and it returns an array of values instead of a single value.

Frequently Asked Questions

What is Excel?

Excel is a spreadsheet program developed by Microsoft that allows users to organize, analyze, and manipulate data in a tabular format. It consists of a grid of cells arranged in rows and columns, where users input and manipulate text, numbers, formulas, and other types of data.

Are Stopwords and Keywords the Same?

No, stopwords and keywords are not the same. Stopwords are common words that are removed from text data to reduce noise, while keywords are specific words or phrases that are relevant to the topic being analyzed and used to identify the main themes or concepts in a piece of text.

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