Sentiment analysis refers to the automated method of identifying, capturing, and evaluating the emotional tone or sentiment in texts, opinions, or statements. This enables businesses to understand the overall mood, opinions, and feelings of customers or users regarding their products, services, or brands.
Typical functions of software in the field of sentiment analysis may include:
Sentiment detection: The software processes and analyzes texts such as customer reviews, comments on social media, product reviews, etc., to identify the sentiment contained therein.
Sentiment classification: The software classifies the detected sentiment into different categories such as positive, negative, or neutral.
Contextual understanding: The software takes into account the context in which the text appears to improve the accuracy of sentiment analysis. This allows it to recognize sarcasm or irony, for example.
Real-time analysis: The software can monitor sentiment in real-time to inform businesses immediately about current moods or trends.
Reporting and visualization: The software creates reports and visualizes the results of sentiment analysis to help businesses gain insights and make informed decisions.