Inspiration
Social networks have become the meeting point between companies and consumers, both for positive comments, queries, as well as complaints and claims. From this perspective, it is necessary to be able to monitor in real time what people say about our brand in order to solve their problems as soon as possible and maintain the quality and expectations of our services.
What it does
It allows you to monitor a set of tweets associated with a brand, through a profile or hashtag, and through the web app to obtain sentiment information about that tweet and its main topics (topics), in order to have an overview of the status of a brand on the social network and, in turn, have the details of each comment.
How we built it
It was made with .NET Framework (C # language), which calls the Expert.ai API and stores the data in a SQL Server database. To obtain the tweets, we use the Azure Logic App that "listens" to each tweet with a certain hashtag and stores it in the database.
Challenges we ran into
Extract tweets in a simple way without depending on the web application itself (so as not to make it more complex than necessary).
Accomplishments that we're proud of
Learn about the possibilities of products that I can build in the future with Expert.AI
What we learned
I learned more about NLP, and the potential for many products, and Expert.ai facilitates that development.
What's next for Brand AI Monitor
During 2023, together with partners, we will create a real product to help all kinds of companies that want to monitor their social networks.
Built With
- .net
- c#
- expert
- javascript

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