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How To Train Your Little Birdy


As the team at Hit Search look forward to the release of our reputation management software Little Birdy, we've blogged about the importance of interacting with customers online and of course just how useful effective reputation management can be, but one thing we haven’t really discussed is just how smart our Little Birdy is.

One of the unique points about Little Birdy is its ability to learn from the user (that’s you), which is especially useful when it comes to ‘Sentiment Analysis’.

Sentiment analysis is essentially identifying an attitude based on a topic. Let’s say for example someone tweets about an upcoming movie, people will read it and automatically be able to tell as to whether someone is saying something positive or negative.

An example being:

“I’m really looking forward to the new Star Wars Episode VII movie” this is of course a positive sentiment, whereas “I absolutely hate the idea of this new Star Wars Episode VII movie” would be considered as a negative sentiment.

Humans automatically differentiate between positive and negative sentiment every day and base their responses accordingly. Up until now, reputation management services have required a large amount of human interaction, where users would manually have to differentiate between positive and negative.

This is where Little Birdy is unique.

Little Birdy can learn from the user and effectively help you separate positive and negative sentiments based on your parameters. It handles sentiment analysis for you.

A great example of how Little Birdy could be used would be in the legal environment.

Another program could find the following statement in a blog or tweet: “X solicitors helped me win my defamation case.” and a human looking at this would automatically understand that this is a positive statement, whereas a piece of software would possibly get confused. ‘Defamation’ would be considered a negative word whereas ‘win’ would be seen as a positive - the use of the two words together would confuse the program and could get the classification wrong.

This is where Little Birdy is different as it can learn from you and your training.

A user can train Little Birdy to see this as a positive statement and add ‘defamation’ or any other keyword to its positive (or negative) sentiment list, allowing for effective responses.

It would see the same sentence, but understand that someone has said something nice about your services, and allow you to thank the person for their feedback.

Little Birdy learns from you and categorises mentions accordingly – constantly evolving based on how you want it to operate.

This is ideal for businesses who want to be able to handle their reputation management without committing large amounts of man-hours to the task.

“Here at Little Birdy we are always striving to make improvements and keep up with state of the art techniques; our sentiment analysis system is just one example. We’ve focused our efforts on producing the most useful and innovative reputation management system for our clients, giving them the tools to manage their marketing campaign and their online reputation effectively.” says Dr Ayesh Alshukri, head developer at Little Birdy.

For more information on Little Birdy and how our innovative reputation management software can help your business, call Hit Search – the online marketing experts on 0845 653 1435 today.


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