1. What is text mining ? 

Answer:  Text mining, also referred to as text data mining, roughly equivalent to text analytics is the process of deriving high-quality information from text. Whereas the high-quality information is typically derived through the devising of patterns and trends through means such as statistical pattern learning.

2. What is Information Extraction ? 

Answer:  Information extraction is the task of automatically extracting structured information from unstructured and/or semi-structured machine-readable documents. In most of the cases this activity concerns processing human language texts by means of natural language processing.

3. What is object standardization ? When it will be used ? 

Answer:  Text data often contains words or phrases which are not present in any standard lexical dictionaries. These pieces are not recognized by search engines and models.

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4. What is Topic Modeling ? When we will do it ?

Answer: Topic modeling is a type of statistical modeling for discovering the abstract “topics” that occur in a collection of documents. An example for topic model is Latent Dirichlet Allocation (LDA), is used to classify text in a document to a particular topic.

5. What is document-term matrix ?

Answer:  It is a mathematical matrix that describes the frequency of terms that occur in a collection of documents. Is also called as term-document matrix.