Find out what your customers, employees, and partners are saying about you by analyzing social media channels, customer service data and emails with our sentiment analysis services.
Social media sentiment analysis enables organizations to get insights regarding their market reputation by using data science. Instead of relying on cold calling, sending out feedback forms or conducting surveys by employing a huge field staff, companies can analyze what consumers think about their brand by using text mining tools.
This means that if your brand is getting a lot of criticism online, our tools will help you identify that in real time so that you can take appropriate actions and solve the issue before it becomes a major crisis.
At Softweb Solutions, we have the expertise to build customized social media sentiment analysis tools which can be used to measure your reach and influence on all the major social media channels.
Our data scientists carried out Twitter analysis of the fans of HBO’s hit show Game of Thrones when the sixth season was being aired in summer 2016.
An R script was used to analyze the most important character hashtags for the first two episodes. For the remaining eight episodes, a Python script was used which is the better choice when it comes to text analysis due to its built-in natural language processing models. The analysis involved creating word clouds, number of likes and shares for the most popular tweets, identifying emotional states and polarity of the tweets, creating bar charts for fan reaction to all the major plot lines in every episode and several other charts for each episode.
You can find a detailed description of all ten episodes here.
Sentiment analysis is a type of natural language processing for tracking the emotions and opinions of the public about a particular service or product to come up with better decisions.