Have you ever got a text from someone and couldn’t tell if they were kidding or not? Unless we clearly tell the person how we feel, emotions don’t carry well over text, which often makes it difficult to determine the intent of the communication. When someone texts you with a sarcastic statement (without emojis) can you tell if it’s sarcastic? If they happy, annoyed, or neutral?
What is sentiment analysis?
What is sentiment analysis used for?
How is Sentiment Analysis Done?
The basis of sentiment analysis is machine learning(of course we need machines to understand something then we need machine learning) and natural language processing. The basic task of any sentiment analysis algorithm is to identify whether a text belongs to the positive, negative, or neutral sentiment class. If you seek to make your sentiment analysis as precise as possible, you can add additional polarity categories, such as: Very negative, Negative, Neutral, Positive, very positive. Following are the main approaches for sentiment analysis:
Adani Institute of
APPLICATION FORM 2022
Digital Technology Management
Adani Institute of
APPLICATION FORM 2022
Digital Technology Management
Inspiring Education… Assuring Success!!