If you are looking for methods to process and understand large amounts of conversations for your social media reports, our semantic analysis is your best option.
This option allows you to quickly and in-depth interpret the conversations that are generated about your brand, product or campaign so that the thousands of data generated do not have to be read one by one to obtain a learning from them.
How does Quantico manage to perform this analysis?
First, all captured mentions (which may be tweets, posts and/or comments on Facebook ; Instagram; blogs; national media) are quantitatively analyzed using statistical methods to identify the different conversations that are structured.
Each of these terms is selected using algorithms that identify relevant mexico phone numbers and discriminate commonly used words (prepositions, articles, others).
The relationships between words are calculated by Quantico using automated algorithms that allow proximity to be identified and generate as many “clusters” as there are different conversations or topics.
Steps to consider when performing Semantic Analysis
To start the analysis, you must enter the platform, in the Filter box you must select the segment, category, media and the period to analyze. Then choose a "dimension"
By selecting a dimension you will be able to quickly identify the reason for the sentiment related to your brand, products or services.
Our semantic analysis is composed of various dimensions such as: attitude, moment, need, assessment, among others.
For example, for the “Your Brand” segment , in the Customer Service Channels category, you should select the “ Rating ” dimension. This is done in order to identify whether this semantic category is more positive, neutral or negative.
This selection also breaks down terms that could be: “Delays”, “Very Bad” or “Speed”, so that we can interpret that users have rated that the “Customer Service Channels” service of the “brand” does not comply with what is established.