Sentiment analysis also referred to as opinion mining is among the most well-known uses that make use of Natural Language Processing (NLP). It is a method of categorizing and identifying emotions thoughts, attitudes, and feelings expressed in text. In simple terms, sentiment analysis assists computers in determining whether text communicates a positive neutral, or negative feeling. Due to the explosion of online and social media sites, reviews and customer feedback, the use of sentiment analysis has grown into a potent tool for researchers, businesses and companies to discern emotions expressed by humans in written language. Data Science Course in Pune
At the heart of sentiment analysis is the difficulty of teaching machines how to interpret natural language, which is often unclear, context-dependent and full of nuances. Words can have different meanings according to the context. For instance, the term "unpredictable" could be negative when referring to the performance of a car, but positive when discussing a thriller film. So, the process of sentiment analysis is based on linguistic rules as well as machine learning techniques to accurately discern the tone of text.
