News > Little Birdy Learns From User ‘Training’

Little Birdy Learns From User ‘Training’

As we look forward to the release of Little Birdy, the innovative reputation management software, we’ve highlighted how important interacting with your customers online is and how responding to comments whether good or bad can help sculpt a better reputation.

Yet one thing we’ve yet to mention is just how smart our Little Birdy really is.

One of the great features of Little Birdy is its ability to learn from a user. This is really useful when it comes to ‘Sentiment Analysis’.

For those not sure what sentiment analysis is, put simply it is identifying an attitude towards a topic. If someone tweets or posts about a certain topic online, you will be able to read it and automatically tell whether they are being positive or negative about the subject.

A great example being:

“I’m really looking forward to The World Cup”, this is of course a positive sentiment, whereas “I really can’t be bothered about The World Cup” would obviously be considered as a negative sentiment.

People can automatically differentiate between positive and negative sentiment and of course base their responses or reactions appropriately – you probably wouldn’t want to talk to someone about the latest shocking football transfer to someone who’s said they don’t like football, would you?

Up until now, most reputation management services have always required a large amount of user interaction and needed someone to differentiate manually between positive and negative sentiment results.

This is where Little Birdy flies in the face of conventional reputation management software.

You can train your Little Birdy to help you separate positive and negative sentiments based on your custom variables and let it handle sentiment analysis all by itself.

A prime example of where Little Birdy’s training would be useful would be in the legal environment.

A different program could find the following blog post or tweet: “X solicitors helped me win my defamation case.” Whereas a human would automatically understand that this is a positive statement, a piece of software would potentially get confused. To the program ‘defamation’ would be considered a negative word whereas ‘win’ would be seen as a positive – the use of the two words together would no doubt confuse the program and it could get the classification wrong.

This is where Little Birdy soars above the rest in terms of innovation.

You can train Little Birdy to see a statement like this as a positive sentiment. As a user, you can add ‘defamation’ or any other keyword to your positive or negative sentiment list which will help you tailor your responses to any comments effectively.

Little Birdy would see this sentence and realise that someone is saying something nice about your services, which means you can thank the person for their feedback.

Little Birdy evolves according to your training, making it a valuable tool for businesses to have on their side, categorising mentions where appropriate, whether positive or negative based on how you want it to operate.

This is especially useful for businesses who want to be able to handle their reputation management without having to commit vast amounts of man hours to the task.

Dr Ayesh Alshukri, head developer at Little Birdy is proud of the benefits Little Birdy holds and says: “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.”

For more information on Little Birdy and how our innovative reputation management software can help your business, call 0845 653 1435 to speak to a reputation management expert today.

 

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