PYTHON Tutorial
Natural Language Processing (NLP) is a subfield of artificial intelligence that gives computers the ability to understand and generate human language.
# Simple sentiment analysis using scikit-learn
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.linear_model import LogisticRegression
# Create a corpus of labeled tweets
corpus = [
("I love this movie!", 1),
("This movie is terrible", 0)
]
# Preprocess and tokenize the corpus
vectorizer = CountVectorizer()
X = vectorizer.fit_transform([text for text, _ in corpus])
# Create a logistic regression model
model = LogisticRegression()
model.fit(X, [label for _, label in corpus])
# Predict the sentiment of a new tweet
new_tweet = "The movie was okay."
new_features = vectorizer.transform([new_tweet])
prediction = model.predict(new_features)
print(prediction) # [1] (positive)
What is NLP? NLP is like a translator for computers. It helps computers understand the words and language that people use.
How NLP Works: NLP follows these steps:
Uses of NLP: NLP is used for many things, such as:
Imagine you have a sentence: "I love cats."
NLP will break it down into: