How to resolve "ModuleNotFoundError: No module named Gensim"

Gensim is an efficient Python library for natural language processing (NLP) tasks such as topic modeling, document similarity analysis, and text preprocessing.

We are likely to encounter the error "ModuleNotFoundError: no module named Gensim" when we attempt to import gensim library in our Python-based compiler.

import gensim

Causes of error

This error commonly occurs in our systems because of the following reasons:

  • The module is not installed in our Python environment.

  • We installed the module incorrectly or used an incompatible version.

  • We may not have installed or activated the module within the specific virtual environment.

  • Our import statement may not match the package name, causing the error.

Installing gensim module

  1. We can remove this error by installing the gensim library on our system using the pip package manager.

Run the following command on your terminal to install gensim.

pip install gensim
or
pip3 install gensim
Installing gensim module

This command will download and install the latest version of Gensim on our system from the Python Package Index (PyPI).

  1. After the installation, we have to verify whether Gensim is installed successfully.

Run this command on your terminal to check if it was installed correctly.

pip show gensim

Now, you should be able to see the information about the installed version of Gensim, confirming the complete installation.

If you have recently installed Gensim but are still encountering the error, try restarting your Python environment.

Let's check if the module has been installed adequately by importing it in our Python script and running the code:

Code example

from gensim.utils import tokenize
text = "Welcome to Educative Answers."
tokens = list(tokenize(text))
print(tokens)

Note: To understand the code more comprehensively, refer to this answer.

Therefore, we have successfully resolved the "ModuleNotFoundError: No module named Gensim" error by installing the library on our Python environments. We can use this module to perform several NLP tasks in the future.

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