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2.1.2. Natural Language Processing Workloads
NLP enables machines to understand and generate human language. The INPUT is text (or transcribed speech).
The following table summarizes NLP capabilities:
| Capability | What It Does | Example Use Case |
|---|---|---|
| Key Phrase Extraction | Identifies main topics in text | Summarizing customer feedback |
| Entity Recognition | Finds named entities (people, places, orgs) | Extracting company names from news |
| Sentiment Analysis | Determines emotional tone | Analyzing product reviews |
| Language Detection | Identifies what language text is in | Routing support tickets |
| Translation | Converts text between languages | Multilingual documentation |
⚠️ Exam Trap: Extracting handwritten text from images is NOT NLP—it's Computer Vision (OCR). The input is an image, not text.
Written byAlvin Varughese
Founder•15 professional certifications