Sentiment analysis is difficult since language is inherently ambiguous. A statement’s overall tone, sarcasm, and contextual cues all play a significant role in determining the sentiment it conveys. Moreover, generic sentiment analysis models could not perform well in domain-specific contexts; domain-specific lexicons should be added, and relevant data should be fine-tuned. Given their ability to significantly alter a sentence’s sentiment, negations and modifiers must also be taken into account. Sentiment analysis models that work successfully must take into account the impact of words like “not” and modifiers like “very.”