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. 10. The computer-implemented method as claimed in claim 9 , wherein the method automatically extracts the Keywords and the KeyTerms from the electronic documents without any guidance or training data given to the said method and extracted words and terms are stored in two data sets, which are the Significant Single Value Term data set and the Significant Multi Value Term data set each having the same instance of data that has the words stored in sequential order as per their occurrence in the document in order to decompose the words to identify the Keywords in the document processed.