Post by account_disabled on Feb 25, 2024 4:48:09 GMT
The online presence of billions of individuals continuously produces enormous quantities of written texts in which opinions, worldviews and positions on certain topics are expressed, privately or publicly. All these expressions can almost always be associated with moods , the nuances of which we know are infinite but to a certain extent classifiable and above all identifiable through text analysis systems, whether automatic (via algorithms) or manual. Sentiment analysis is therefore an analysis carried out on "natural" languages to determine the negative, positive or neutral character of a written text (there are also sentiment analyzes of different types, more specific and "deep"). As already highlighted in our article on monitoring online conversations , companies and institutions can obtain very relevant information in the strategic field thanks to the collection and analysis of all those signals that contribute to their " reputation" : keeping track of "sentiment" it means attributing to each of those signals a value linked to the sensations expressed by people.
We can already understand the importance of this analysis to orient ourselves in India Part Time Job Seekers Phone Number List investigations regarding the perception of a brand , to monitor the performance of social channels in a qualitative sense , to specifically know the feelings of customers regarding certain products and services . Wanting to give a quick example , let's imagine we have a thousand textual reviews available relating to a service: the sentiment analysis will immediately indicate to us, based on our settings, what percentage of customers are satisfied or dissatisfied , it will indicate specifically which are the services most appreciated or criticized and from which type of customer criticism or signs of appreciation come. As in any self-respecting analysis, the greater the number of data collected (in this case reviews), the more accurate and truthful the results we will extract and interpret will be. If we wish, we can deepen the investigation by introducing more precise determination criteria, for example distinguishing more levels of positivity and negativity ("very positive", "positive", "negative", "very negative") or by adding other criteria such as " urgent”, “slightly urgent”, “very urgent”.
What is it for and for whom Sentiment analysis can have very vast applications , precisely because the life of communities is based on the sharing and exchange of opinions and we can find texts that express moods practically everywhere, on social media and on the web. Wanting to limit some areas of application, here is a short list of the most common uses of sentiment analysis: Monitoring, including in real time, of social media . For example, we can know the trend of sentiment regarding the social spaces of our company and our competitors by comparing them. Or, investigate the real proportions and tones of a communication crisis: we know, for example, that many are talking about our company, but "how" are they talking about it? And what specifically are the topics in relation to which there are any waves of "negative" sentiment? Monitoring of brands (or of a political party, of an institution, of a non-profit organization), to understand and protect the reputation wherever possible, from social media to news publications, evaluating the impact of specific campaigns. Listening to customers , to track all the feedback from those who use certain products and services, understand the specific nature of the critical issues and identify the areas of intervention to improve, for example, assistance services. This analysis will focus on review sites, support forums and all platforms dedicated to these types of customer actions. Market research with respect to product or service categories , to evaluate existing scenarios, strengths and weaknesses, trends.
We can already understand the importance of this analysis to orient ourselves in India Part Time Job Seekers Phone Number List investigations regarding the perception of a brand , to monitor the performance of social channels in a qualitative sense , to specifically know the feelings of customers regarding certain products and services . Wanting to give a quick example , let's imagine we have a thousand textual reviews available relating to a service: the sentiment analysis will immediately indicate to us, based on our settings, what percentage of customers are satisfied or dissatisfied , it will indicate specifically which are the services most appreciated or criticized and from which type of customer criticism or signs of appreciation come. As in any self-respecting analysis, the greater the number of data collected (in this case reviews), the more accurate and truthful the results we will extract and interpret will be. If we wish, we can deepen the investigation by introducing more precise determination criteria, for example distinguishing more levels of positivity and negativity ("very positive", "positive", "negative", "very negative") or by adding other criteria such as " urgent”, “slightly urgent”, “very urgent”.
What is it for and for whom Sentiment analysis can have very vast applications , precisely because the life of communities is based on the sharing and exchange of opinions and we can find texts that express moods practically everywhere, on social media and on the web. Wanting to limit some areas of application, here is a short list of the most common uses of sentiment analysis: Monitoring, including in real time, of social media . For example, we can know the trend of sentiment regarding the social spaces of our company and our competitors by comparing them. Or, investigate the real proportions and tones of a communication crisis: we know, for example, that many are talking about our company, but "how" are they talking about it? And what specifically are the topics in relation to which there are any waves of "negative" sentiment? Monitoring of brands (or of a political party, of an institution, of a non-profit organization), to understand and protect the reputation wherever possible, from social media to news publications, evaluating the impact of specific campaigns. Listening to customers , to track all the feedback from those who use certain products and services, understand the specific nature of the critical issues and identify the areas of intervention to improve, for example, assistance services. This analysis will focus on review sites, support forums and all platforms dedicated to these types of customer actions. Market research with respect to product or service categories , to evaluate existing scenarios, strengths and weaknesses, trends.