Stream Processing
Natural Language Processing
Common words that are filtered out during text processing because they add little meaningful content.
Detailed Explanation
Stop words are common words such as "the," "is," "and," or "but" that are often removed during natural language processing to improve efficiency and focus on meaningful content. Eliminating these words helps algorithms better analyze text by reducing noise, enabling models to identify key terms and understand context without being distracted by frequently used, low-information words.
Use Cases
- •Removing stop words improves search accuracy by focusing on meaningful keywords, enhancing relevance in information retrieval systems like search engines and chatbots.
Related Terms
Other terms in the Natural Language Processing category