Feature extraction :Advanced DL

What is feature extraction?

• A data compression technique

• A method for creating images from text

• A data sorting algorithm

• The process of transforming raw text into a structured format

Which technique measures the importance of a word in a document?

• FastText

• Word2Vec

• Bag-of-Words

• TF-IDF

Which model predicts a target word based on its contextual words?

• Bag-of-Words

• GloVe

• TF-IDF

• Skip-gram

What is the main objective of GloVe?

• To capture global statistical information about word usage

• To create images from text

• To measure the frequency of words in a document

• To analyze sentiments in a text

What is an advantage of FastText compared to Word2Vec?

• It requires less data

• It is faster to train

• It handles rare words better

• It does not take subwords into account

What is the main disadvantage of using TF-IDF?

• It is difficult to understand

• It does not capture semantic relationships

• It is too resource-intensive

• It requires a large amount of data

Which algorithm is used to predict contextual words in the Skip-gram model?

• GloVe

• FastText

• CBOW

• Softmax

What is the main objective of word embedding?

• Analyze sentiments

• Compress textual data

• Represent words as continuous vectors

• Classify documents

What is an example of a word embedding method?

• TF-IDF

• Word2Vec

• Bag-of-Words

• SVM

What is the main advantage of Word2Vec?

• It is fast to execute

• It captures semantic relationships

• It is simple to implement

• It requires little data