 |  Natural Language Processing 30 Flashcards |  Start |
 | What is the primary focus of Natural Language Processing (NLP)? |  Card: 1 / 30 |
| NLP focuses on enabling computers to understand human language, both spoken and written, and generate appropriate responses. | Card: 2 / 30 |
| True or False: NLP is one of the domains of Artificial Intelligence. | Card: 3 / 30 |
| True. | Card: 4 / 30 |
| Fill in the blank: Sentiment Analysis helps companies gauge ___ about their products and services. | Card: 5 / 30 |
| Opinions | Card: 6 / 30 |
| What differentiates a Smart Bot from a Script Bot? | Card: 7 / 30 |
| Smart Bots are flexible, capable of handling complex tasks, and can learn and improve over time, while Script Bots operate on predefined scripts with limited language processing. | Card: 8 / 30 |
| Riddle: I can categorize documents and help in finding important terms, but I cannot hold a conversation. What am I? | Card: 9 / 30 |
| TF-IDF | Card: 10 / 30 |
| What does the Bag of Words model focus on? | Card: 11 / 30 |
| The Bag of Words model focuses on the occurrences of each word to build a vocabulary for the corpus, ignoring the order of words. | Card: 12 / 30 |
| True or False: In Natural Language Processing, semantics refers to the grammatical structure of a sentence. | Card: 13 / 30 |
| False. Semantics refers to the meaning of a sentence. | Card: 14 / 30 |
| Fill in the blank: Text normalization is the process of ___ and simplifying textual data. | Card: 15 / 30 |
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| Cleaning | Card: 16 / 30 |
| What is the purpose of stemming in NLP? | Card: 17 / 30 |
| Stemming reduces words to their base or root form by removing prefixes and suffixes. | Card: 18 / 30 |
| How does the Inverse Document Frequency (IDF) contribute to the TF-IDF formula? | Card: 19 / 30 |
| IDF helps determine how important a word is within the entire corpus by calculating the total number of documents divided by the document frequency of that word. | Card: 20 / 30 |
| Which type of chatbot typically requires coding for setup? | Card: 21 / 30 |
| Smart Bots. | Card: 22 / 30 |
| Riddle: I help machines understand human language and can analyze feelings, but I have no emotions myself. What am I? | Card: 23 / 30 |
| Natural Language Processing (NLP) | Card: 24 / 30 |
| What is the main role of sentence segmentation in text normalization? | Card: 25 / 30 |
| Sentence segmentation breaks the corpus into individual sentences, reducing complexity and treating each sentence as a separate data unit. | Card: 26 / 30 |
| Fill in the blank: A common application of NLP is ___, which summarizes the content of documents. | Card: 27 / 30 |
| Automatic summarization | Card: 28 / 30 |
| Describe the difference between stemming and lemmatization. | Card: 29 / 30 |
| Stemming reduces words to their root form without ensuring the result is a meaningful word, while lemmatization always produces a meaningful base form of the word. | Card: 30 / 30 |
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