What is the primary purpose of stemming in text processing?Question 3Answera.To assign a part-of-speech tag to each wordb.To identify and extract named entitiesc.To measure the similarity between wordsd.To convert words to their base or root forms

Stemming may increase the number of relevant documents retrieved (recall)

Q.16 Which one of the following are keyword Normalization techniques in NLP1. Part of Speech2. Named entity recognition3. Stemming4. Count Vectorizer

What key steps are involved in basic text processing in natural language processing? Question 2Answera.Tokenization, stop words removal, stemming, and lemmatizationb.Bag of Words (BoW) model, TF-IDF, word embeddingsc.Named Entity Recognition (NER), part-of-speech tagging, syntax parsingd.Machine translation, sentiment analysis, topic modeling

Which of the following statements are NOT correct about stemming and lemmatizing (the answer can be more than one)Group of answer choicesStemming may also require more domain-specific knowledge or training dataStemming can preserve the semantic relationships between wordsStemming can result in errors or inconsistenciesStemming is a faster and simpler approach than lemmatizingStemming can reduce the dimensionality (vocabulary size) of text data

A process that reduces the size of a vocabulary by reducing to the 'root' of words is called:Question 19Select one:a.Stemmingb.Lemmatizingc.Removal of stop wordsd.Postinge.pruningClear my choice