NCA-GENL Question 184
Select 4You are tasked with implementing a text classification model using Python to determine whether customer reviews are positive or negative. The dataset consists of labeled text data. Which of the following Python packages would be most appropriate to preprocess the text data and build the machine learning model?
- A
spaCy
- B
NumPy
- C
Keras
- D
Matplotlib
- E
scikit-learn
Show answer and explanation
Correct answers: A, B, C, E
Explanation
To implement a text classification model, you need tools for preprocessing the text data, numerical computations, and building the model itself. spaCy is ideal for text preprocessing tasks, NumPy aids in numerical operations, Keras is excellent for model development (especially deep learning), and scikit-learn provides robust tools for traditional machine learning workflows. While Matplotlib is useful for visualizations, it is not directly relevant to preprocessing or model building.
- A. Correct.
spaCy is a natural language processing library that can be used to preprocess text data, such as tokenization, lemmatization, and named entity recognition.
- B. Correct.
NumPy is essential for handling numerical computations and creating arrays, which are often required when converting text data into numerical feature representations.
- C. Correct.
Keras is a deep learning library that can be used to build and train the text classification model after preprocessing the data.
- D. Incorrect.
Matplotlib is a data visualization library, which is not directly required for preprocessing or building the machine learning model, but could be used for visualizing results.
- E. Correct.
scikit-learn is a widely-used library for traditional machine learning analyses, including text classification, and provides tools for preprocessing, feature extraction, and model training.