Update

Muft Shiksha™ एक 100% Free Education Portal है 🇮🇳, जिसका उद्देश्य Class 9–12 के हर विद्यार्थी तक High-Quality Education को पूरी तरह मुफ्त पहुँचाना है। 🇮🇳 हम मानते हैं कि अच्छी शिक्षा किसी student की आर्थिक स्थिति पर निर्भर नहीं होनी चाहिए। 🇮🇳 हर विद्यार्थी को वही Quality Study Material, MCQs, Quizzes, Exam Preparation, Concept-Based Learning और Bilingual Support मिलना चाहिए, जो आमतौर पर महंगी Coaching या Premium Platforms में मिलता है। Muft Shiksha™ 🇮🇳 इसी सोच के साथ बनाया गया है

Subjects
0 reads0 ratings0 helpful

What is a simple use of Named Entity Recognition (NER)?

Answer and explanation

Correct answer: Identifying a person, place, or organization in text

Named Entity Recognition is an NLP information-extraction technique that locates and classifies specific entities in text, such as people, places, organizations, dates, or amounts. For example, it can label “Delhi” as a location and “Ravi” as a person. Sentiment analysis studies emotions, translation changes languages, and summarization shortens content, so option A is correct.

Related tags

Named Entity RecognitionNatural Language ProcessingInformation ExtractionNlp TasksClass 12 AiPart B: Subject Specific SkillsPart B Subject Specific SkillsArtificial Intelligence

Was this question useful?

No ratings yetWrite a review / Rate this question

Student Reviews

No published reviews yet.

Add Muft Shiksha to your Home Screen

In Safari, tap Share, then Add to Home Screen.