Geographical Entity Sentiment Analysis identifies positive, negative or neutral sentiments related to geographical entities such as cities, states, countries etc. Polarity scores are calculated by identifying named entities in text and modeling sentiments to respective entities. This solution can be used to identify sentiments around specific locality or a comparative study between two locations based on different features like property rates, local facilities, proximity with prominent localities etc. This can help user determine location attractiveness for businesses or travel.