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Natural Language Processing Has Been Continuous Field Of Interest Since 1950s. It Is Concerned With The Interaction Between Computers And Human’s Natural Languages. The History Of Natural Language Processing Started With Alan Turing’s Article Titled “Computer Machinery And Intelligence”. How Natural Language Is Processed By Computers Is Main Concern Of NLP. Speech Recognition, Text Analysis, Text Translation Are Few Areas Where Natural Language Processing Along With Artificial Intelligence Is Employed. NLP Includes Various Evaluation Tasks Such As Stemming, Grammar Induction, Topic Segmentation Etc. This Project Aims At Developing A Program That Is Used For Age Related Sentiment Analysis. Sentiment Analysis Refers To The Use Of Natural Language Processing, Text Analysis, Computational Linguistics, And Biometrics To Systematically Identify, Extract, Quantify, And Study Affective States And Subjective Information. Methods To Approach Sentiment Analysis Are Classified Mainly Into Knowledge Based Approach, Statistical Approach And Hybrid Approach. Provided A Text, Mood Of The Text Will Be Analysed. The Main Constraint That Is Applied Here Is Age. The Text Will Be Analysed Related To The Age. The Opinion Or Mood Behind The Particular Text Varies For Every Age Group Since Their Understanding Levels And Conceptual Knowledge Varies. Word Ambiguity Is Analysed And Based On The Keyword Detection And Context Analysis Ambiguity Is Removed. Age Is Taken Into Consideration While Analysing The Text And Hence For The Same Text In The Same Context Analysis Varies.