Nlp Glossary

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Publisher ‏ : ‎ Attrakt Bv (August 1, 2014)
Language ‏ : ‎ English
Paperback ‏ : ‎ 248 pages
ISBN-10 ‏ : ‎ 9460510795
ISBN-13 ‏ : ‎ 978-9460510793
Item Weight ‏ : ‎ 8.6 ounces
Dimensions ‏ : ‎ 5.06 x 0.52 x 7.81 inches

NLP Glossary: Understanding Key Terms in Natural Language Processing

Natural Language Processing (NLP) is a branch of artificial intelligence that focuses on enabling computers to understand, interpret, and generate human language. To help you navigate the complex world of NLP, here is a glossary of key terms to help you better understand this fascinating field.

1. Tokenization: The process of breaking down text into smaller units, such as words or sentences, for analysis.

2. Stemming: A technique used to reduce words to their root form, such as removing suffixes or prefixes.

3. Lemmatization: Similar to stemming, but aims to reduce words to their base or dictionary form.

4. Part-of-speech tagging: The process of assigning grammatical categories (such as noun, verb, or adjective) to words in a sentence.

5. Named Entity Recognition (NER): Identifying and classifying named entities in text, such as names of people, organizations, or locations.

6. Sentiment analysis: Analyzing text to determine the sentiment or emotion expressed, such as positive, negative, or neutral.

7. Word embedding: Representing words as vectors in a high-dimensional space, capturing their semantic relationships.

8. Language model: A statistical model that predicts the likelihood of a sequence of words occurring in a given context.

9. Transformer: A deep learning model architecture that has revolutionized NLP tasks, such as translation and summarization.

10. BERT (Bidirectional Encoder Representations from Transformers): A pre-trained transformer model developed by Google that has achieved state-of-the-art performance on various NLP tasks.

By familiarizing yourself with these key terms, you can gain a better understanding of the fundamental concepts and techniques used in NLP. Stay tuned for more updates and insights on the exciting developments in the field of natural language processing.
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