Sentiment analysis is done using algorithms that use text analysis and natural language processing to classify words as either positive, negative, or neutral. It is done using Positive or Negative Lexicons. A sentiment score is derived depending on the lexicons used in the textual data.
List of Sentiment Algorithms
Notes:
- The Reader (Dataset) should be connected to the algorithm.
- These algorithms can be used only on textual data.
- You can use sentiment algorithms after pre-processing algorithms.
- These algorithms are used to determine a sentiment score, which can be useful for businesses to derive insights.