Text parsing and tokenization are crucial steps for processing unstructured textual data. Parsing involves extracting and structuring data from text, while tokenization breaks down text into meaningful elements or "tokens" for analysis. This approach is particularly useful for unstructured datasets like customer reviews, social media comments, or any free-form text where content analysis is required. By structuring the data through tokenization, a data analyst can perform further analysis, like sentiment analysis or topic modeling, to extract insights from textual data. The other options are incorrect because: • Linear Regression is a statistical technique, unsuitable for unstructured text. • Data Normalization standardizes numeric values, not text. • Data Aggregation consolidates data, but doesn't handle text processing specifically. • K-means Clustering groups data, but tokenization is first needed for textual data.
Which of the following companies had planned to open the World largest carbon fibre plant?
Who is awarded with the SASTRA Ramanujan Prize 2022?
Which of the following statements about Fundamental Duties in India is correct?
(I) They are described under Part V of the Indian Constitution.
Where are the headquarters of Life Insurance Corporation of India?
A new variety of ______ naming PBW RS1 has been researched by Punjab Agricultural University (PAU).
What is the estimated investment approved for the 12 new industrial cities under NICDP?
India’s first spy satellite Risat -2 re-enters Earth after 13 years was launched by which of the following space agencies?
(A) Treaty of Versailles (i) First Anglo-Burmese War
(B) Treaty of Salbai (ii) World Wa...
Tomb of Sheikh Salim Chishti is located in which district?
From which state does the documentary film 'To Kill A Tiger,' nominated for the 96th Academy Awards (Oscar 2024) in the Best Documentary Feature Film ca...