Find complete sentence that contain your keyword

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by vigneshchennai74 dot icon Updated: Jan 31, 2023

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Using SpaCy, you may utilize the techniques below to identify the full sentence that includes a particular keyword:  

  • Load the desired language model and import the SpaCy library.  
  • By feeding the text data via the SpaCy nlp object, you can process it.  
  • Repeat over the sentences in the processed text, ensuring that each one has the keyword.  

Finding entire phrases that contain a particular term can be done using a variety of apps, including:  

  • Text mining: This technique can be used to extract pertinent facts from massive amounts of text data by looking for sentences that include a particular keyword.  
  • Information retrieval: Users can quickly locate pertinent information in a document or group of documents by searching for sentences that contain a particular keyword.  
  • Question-answering: Finding sentences that answer a question can help question-answering systems be more accurate.  
  • Text summarization: Finding sentences with essential words in them can aid in creating a summary of a text that accurately conveys its primary concepts.  
  • Evaluation of the language model: The ability of the language model to produce writing that is human-like can be assessed by locating full sentences that contain a keyword.  

Here is how you can find the complete sentence that contains your keyword:  

Preview of the output that you will get on running this code from your IDE


In this solution we have used Matcher function of SpaCy Library.

  1. Copy the code using the "Copy" button above, and paste it in a Python file in your IDE.
  2. Enter the Text
  3. Run the code that Find the Complete Sentence you looking for.

I hope you found this useful. I have added the link to dependent libraries, version information in the following sections.

I found this code snippet by searching for "How to extract sentence with key phrases in SpaCy" in kandi. You can try any such use case!


In this snippet we are using a Language model (en_core_web_sm)

  1. Download the model using the command python -m spacy download en_core_web_sm .
  2. paste it in your terminal and download it.

Check the user's spacy version using pip show spacy command in users terminal.

  1. if its version 3.0, you will need to load it using nlp = spacy.load("en_core_web_sm")
  2. if its version is less than 3.0 you will need to load it using nlp = spacy.load("en")

Environment Tested

I tested this solution in the following versions. Be mindful of changes when working with other versions.

  1. The solution is created in Python 3.7.15 Version
  2. The solution is tested on Spacy 3.4.3 Version

Using this solution, we can collect the complete sentence that user need with the help of function in spacy . This process also facilities an easy to use, hassle free method to create a hands-on working version of code which would help us collect the sentence or keywords the user needs in python.

Dependent Library

spaCyby explosion

Python doticonstar image 26383 doticonVersion:v3.2.6doticon
License: Permissive (MIT)

💫 Industrial-strength Natural Language Processing (NLP) in Python


            spaCyby explosion

            Python doticon star image 26383 doticonVersion:v3.2.6doticon License: Permissive (MIT)

            💫 Industrial-strength Natural Language Processing (NLP) in Python

                      If you do not have SpaCy that is required to run this code, you can install it by clicking on the above link and copying the pip Install command from the Spacy page in kandi.

                      You can search for any dependent library on kandi like SpaCy


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