Text Mining and Analytics Quiz

What is Text Mining?

• Extracting data from images

• Analyzing structured data

• Deriving meaningful information from unstructured text

• Creating databases from spreadsheets

Which of the following is a key step in the text mining process?

• Image recognition

• Text preprocessing

• Hardware installation

• GUI design

Which of the following is NOT a common application of Text Mining?

• Sentiment analysis

• Topic modeling

• Text summarization

• Circuit board printing

Which method is commonly used for converting text into numerical form for analysis?

• Tokenization

• Text-to-Speech

• Vectorization

• Annotation

What is 'TF-IDF' used for in Text Mining?

• Visualizing documents

• Encrypting text

• Measuring the importance of words in documents

• Formatting text for printing

Named Entity Recognition (NER) is used to:

• Identify colors in images

• Find grammatical errors

• Detect names of people, places, and organizations

• Create new sentences

Which of the following algorithms is commonly used for topic modeling in text mining?

• Naive Bayes

• K-Means

• LDA (Latent Dirichlet Allocation)

• Apriori

One major challenge in text mining is:

• Lack of programming languages

• High cost of computers

• Ambiguity and variability in human language

• Inability to store data

Which software/library is widely used for text mining in Python?

• NumPy

• Pandas

• Matplotlib

• NLTK

Which technique is used in text mining to reduce words to their root form?

• Vectorization

• Lemmatization

• Parsing

• Chunking