This is not another post about what to buy on Black Friday or which are the best deals.We already know how important this day is for retailers because the amount of money spent keeps growing every year, due particularly to the online shopping.
Since 2010 automated sentiment analysis has been a source of debate around the Net with questions like: What is this methodology? How does sentiment analysis work? In what context is it useful for a business? But the truth is that what is useful for a company may not be for others. In this post we will answer some of these questions:
Searches about "sentiment analysis" are increasing, particularly related to Twitter. However not all the tools available in the market can face the problem analyzing 140 characters. In this post we will show you:
Every business has only one reputation, and in a highly competititve market like the hospitality one, there is just one chance to give a good impression to your clients.
Last week we talked about how much time and effort is saved by sentiment analysis tools, which greatly reduce the amount of time and effort required to prepare your datasets for analysis and gain insight into what customers are telling you.