Text Classification
The NLP task of assigning predefined categories or labels to text documents. It is one of the most common and commercially important NLP applications.
Why It Matters
Text classification automates the sorting and routing of massive text volumes — emails, support tickets, documents, and social media posts.
Example
Automatically categorizing 10,000 daily customer support emails into buckets: billing, technical, shipping, returns, and general inquiry — routing each to the right team.
Think of it like...
Like a mail room clerk who reads each letter and sorts it into the right department's mailbox — but handling millions of letters per day.
Related Terms
Classification
A type of supervised learning task where the model predicts which category or class an input belongs to. The output is a discrete label rather than a continuous value.
Natural Language Processing
The branch of AI that deals with the interaction between computers and human language. NLP enables machines to read, understand, generate, and make sense of human language in a useful way.
Sentiment Analysis
The NLP task of identifying and classifying the emotional tone or opinion expressed in text as positive, negative, or neutral. Advanced systems detect nuanced emotions like frustration, excitement, or sarcasm.
Supervised Learning
A type of machine learning where the model is trained on labeled data — input-output pairs where the correct answer is provided. The model learns to map inputs to outputs and can then predict outputs for new, unseen inputs.