Sentiment Analysis Tools enable organizations to analyze all forms of text data to determine the overall sentiment, opinion, or emotional tone expressed by the users in their messages. These tools use technologies such as machine learning, natural language processing (NLP), text analysis, and biometrics for analyzing and breaking a large amount of text data into small chunks to identify the underlying sentiment of a message. The underline sentiment can be positive, negative, or neutral, which is calculated by assigning the sentiment score based on a pre-determined scale to each chunk. These tools also provide multilingual support to enable sentiment analysis across different languages. These tools are commonly used in marketing, customer support, e-commerce, and finance.
Social analytics is the process of collecting, measuring, analyzing and interpreting the results of interactions and associations among people, topics and ideas from social media sources. This market examines social analytics solutions covering social filtering, text analytics, sentiment analysis, image analysis and public-facing social media analytics. It focuses on solutions that derive at least 60% of their revenue from software versus solutions that are mainly based on consulting services.
Gartner defines Social Monitoring and Analytics as the process of collecting, measuring, analyzing and interpreting the results of interactions and associations among people, topics and ideas from social media sources. These solutions are different from social marketing management tools that may include social analytics capabilities as part of a broader platform, which also include capabilities for content publishing, distribution, and engagement and customer service capabilities. Social Monitoring and Analytics vendors enable users to monitor and analyze conversations happening on social media about their brand, competition industry, and topics relevant to their target customer segments. These tools collect data from various online sources and help users analyze themes, sentiment and perceptions