The Social Media Sentiment Analysis tool seeks to analyze the emotional response to a brand product and/or service.
Our sentiment analysis tool is based on techniques for artificial intelligence, performs the natural language processing and analytical texts from different sources. The tool extracts the text to be analyzed to determine if a positive, neutral or negative feeling is expressed towards the brand and product or service. Today many companies use this concept to understand the public's sense of their business, products and services, in such a way that they can make strategic decisions to adapt to the technological needs of the market.
Feeling analysis is a tool for identifying trends and patterns that lead us to understand consumer attitudes and react to future situations. Detecting the person's attitude to any specific subject at the time of writing a message reflects his emotional intention to transmit.
Determining subjective feelings behind a series of words helps companies monitor social networks and have a clearer idea about consumers' general opinion about brand and product issues.
Feeling analysis is also used to make brand management, this helps companies better target marketing messages aimed at those customers. Here are some benefits of conducting feelings analysis:
Benefits:
- Get information for the company by knowing the opinions about the product and/or service.
- Positioning a brand, loyalty to customers, knowing new trends, understanding consumers' feelings towards the brand.
- Monitoring and monitoring the evolution of people's feelings about branding and service over a period of time.
Detect positive, negative and neutral feelings about users' opinions