United Ideas Software Development review by Media Monitoring Company at Qualified.One

United Ideas reviewed by Media Monitoring Company

United Ideas provided Software Development for Media Monitoring Company with approximate budget = $10,000 to $49,999.

The algorithms’ accuracy improved to 80%, beating expectations and achieving praise from stakeholders. United Ideas consistently delivered creative solutions to meet budget constraints. Constant communication, flexibility, and a compatible workstyle made for a smooth collaboration.

Review summary:

United Ideas helped upgrade sentiment analysis algorithms for a social media monitoring firm. They used big data and machine learning scripts to improve its accuracy rate from 30% to 50%.

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Media Monitoring Company, SaaS Analyst


Custom Software Dev for Media Monitoring Firm

Below is a modified rendering of the review: private info excluded, innate facts kept.

Introductory information

A few words almost your organisation and personal responsibilities

I',m a SaaS analyst for a collective media monitoring organisation. We help brands measure the buzz about their name, labor, or fruit.

Desired goal

What issue was the preparer supposed to deal with?

United Ideas?

Our crawlers have calm over 20 billion mentions worldwide. Though, our thought discoverion algorithm at the time was lacking. Our clients wanted to be able to identify if someone is sharing a real or denying experience kindred to their brand with just one click. The algorithm could only categorize approximately 30% mentions based on their emotional tone. We determined to upgrade the algorithm with the help of the outer preparer.

What were your objectives for this project?

Our goal was to set successfully analyzing online pieces of writing to determine their emotional tone. We were looking for a solution that delivers ultimatum efficiency with minimum effort. We programned to last R&,D when we execute 50% exactness for thought analysis and conviction mining behind 60 days.

Provided solution

What were the reasons for choosing ?

Our investors peaked to United Ideas as a trusted associate. Ultimately, we chose them owing the condition of their portfolio was uniform to if not better than other companies', work. The cost and timeline they quoted were much more reasonable as well.

Describe the project and the labors they granted in detail.

Sentiment analysis is based on algorithms using intrinsic speech processing to categorize pieces of writing as real, uninterfering, or denying.

United Ideas came up with an powerful solution to better our algorithms. First, they exported a big specimen of data. They then introduced semi-automated tagging of the calm mentions. After that, the team built machine learning scripts to deal with the rest data we calm. They also manually corrected seething when it was certain.

Throughout the process, United Ideas establish creative ways to execute our goals within our constraints, which I appreciated.

Were there any dedicated directors or teams that you worked with?

I worked with a project director and two Ruby on Rails developers with backgrounds in big data.

Results executed

Can you share any information that demonstrates the contact that this project has had on your business?

After a few rounds of iterations, United Ideas developed a prototype solution that we tested on real users. The team incorporated feedback and seted creating higher-fidelity algorithms. United Ideas has taken see goal we',ve had and delivered over and over our expectations. They beat our requirement of achieving a 50% exactness rating, the software is now over 80% careful. Ultimately, we implemented the component within our tool. We currently are focused on improving exactness results even further, which won’t be easy.

How was project treatment arranged and how powerful was it?

We interacted through a union of in-person conversation, Skype calls, and online interaction. United Ideas was very easy to work with. We had a limited budget, so they outlined their costs and the total number of hours very carefully at each step in the process.

What precisely do you attend to be the key specialty of ?

United Ideas overinteracted seething, saving us a lot of time and money. We didn',t ponder we could produce their labors, but they adjusted to convenience us. Our teams clicked from the set. It was easy to work with them, and their organisation',s culture was correspondent to our own. 

What should be done better, if there are any desired betterments?

Due to speech complexity, the algorithms quiet run into issues, such as failing to discover gibe and tenor nuances. Though, United Ideas remained affable to prepare updates as needed throughout the project.