9. The computer-implemented method as claimed in claim 1 , said method further comprising steps of: a. checking the document being processed to identify a prerequisite minimal size of data and/or word articles/words; b. storing the data or words in the document in a sequential order as per their occurrence in the document; c. creating two identical instances of the data to facilitate the identification of the Significant Single Value Term data set and the Significant Multi Value Term data set; d. determining a Significant Single Value Term from one of the instance of the data set and a Significant Multi Value Term from the other instance of the data set starting from the highest hand-in-hand words range predefined, followed by consecutive hand-in-hand range terms of lesser dimension; e. storing the identified Significant Single Value Term and the identified Significant Multi Value Term of different hand-in-hand range in their respective data sets; f. comparing words in the Significant Multi Value Term data set with the words in the Significant Single Value Term data set to extract those words in the respective hand-in-hand range of each Significant Multi Value Term data set as Best-Terms, which have at least one instance of Single Value Terms within their range and the rest of the hand-in-hand terms are decomposed; and g. comparing the data sets in such a way that every individual hand-in-hand range term that has at least one instance of any term in the Significant Single Value Term data set that is extracted as a Keyword and the rest are decomposed to determine the KeyTerms.
9. The computer-implemented method as claimed in claim 1 , said method further comprising steps of: a. checking the document being processed to identify a prerequisite minimal size of data and/or word articles/words; b. storing the data or words in the document in a sequential order as per their occurrence in the document; c. creating two identical instances of the data to facilitate the identification of the Significant Single Value Term data set and the Significant Multi Value Term data set; d. determining a Significant Single Value Term from one of the instance of the data set and a Significant Multi Value Term from the other instance of the data set starting from the highest hand-in-hand words range predefined, followed by consecutive hand-in-hand range terms of lesser dimension; e. storing the identified Significant Single Value Term and the identified Significant Multi Value Term of different hand-in-hand range in their respective data sets; f. comparing words in the Significant Multi Value Term data set with the words in the Significant Single Value Term data set to extract those words in the respective hand-in-hand range of each Significant Multi Value Term data set as Best-Terms, which have at least one instance of Single Value Terms within their range and the rest of the hand-in-hand terms are decomposed; and g. comparing the data sets in such a way that every individual hand-in-hand range term that has at least one instance of any term in the Significant Single Value Term data set that is extracted as a Keyword and the rest are decomposed to determine the KeyTerms. 15. The computer-implemented method as claimed in claim 9 , wherein the Term Decomposition is carried out by comparing the Significant Single Value Term dataset and the Significant Multi Value Term dataset in such a way that every individual hand-in-hand range term that has at least one instance of any of the terms in Significant Single Value Term dimension are extracted as Keywords and the rest are decomposed.