Sentimental Analysis in English language is a relatively easier task to perform as it has a predefined set of rules followed and accepted universally. But, when it comes to Indian languages, there isn’t a benchmark dataset. Moreover, if a data set exists, it cannot be validated as a similar sentence may differ in the meaning as the regional languages are very unpredictable and have no proper rules. In this paper, we used a Rule-Based Approach to build SentiPhraseNet. Here, we obtained the sentiment using SentiPhraseNet and validated the results using ACTSA which is an annotated corpus data set.