How to Outsource Text Classification
Machine learning projects need accurate and reliable datasets to function at optimum levels and the better your data, the better your end result. Text is most probably the richest form of data available, but because of the time-consuming work of organizing it, a lot of businesses do not use it to its full potential. Organizing and labeling massive amounts of textual data takes many hours and may cost a lot of money, which is not always worth the effort to companies.
However, machine learning text classification and annotation services, including Datumaro annotation, LabelMe annotation, and MOT annotation, have made this task significantly more manageable and cost-effective. These advanced techniques automate the process of analyzing and structuring text, enabling businesses to extract valuable insights from vast quantities of text data quickly.
How does this machine learning method work exactly? Text classification assigns a set of predetermined categories or labels to textual data and then by identifying keywords or phrases classifies documents into these categories. The result is structured, organized data for your AI application.
Text classification machine learning forms an integral part of NPL, as most data is unstructured, disorganized and messy, which makes it a time-consuming and difficult job to organize. Text and document classification eliminates this issue by doing it at a fraction of the time and cost, making a big difference to the bottom line of a business.
Reasons to Outsource ML Labeling to Us
As mentioned above, text classification can be a tedious task and take up a lot of your resources as a business owner, so outsourcing annotation services for machine learning is a great idea. Let’s look at some of the benefits of outsourcing this task to us at Mllabeling.com:
Launch fast and effectively
We have pools of candidates ready to start on your project as soon as possible. Our recruiters constantly recruit new candidates who have a top-notch track record and proven results. Eliminate all your HR worries and let us deal with the hiring and onboarding of your team.
Keep your attention on growth
Let us handle all the nitty-gritty of the labeling process, so you can stay focused on the bigger picture. Project management and business growth should be your biggest focus while we deliver top-quality labeled data ready for your AI application.
Easy scaling
Business can be unpredictable, and often it is difficult to deal with staffing when the workload reduces or increases. When you outsource NLP labeling experts to us, this is not an issue as you can scale up and down as it suits your workload. This results in reduced costs and effort from your side.
Best technology
We ensure that our NLP text classification labellers are always working with the most up-to-date technology to deliver accurate, fast results to our customers.
Reduced labor costs
We work with document classification machine learning labellers from areas where labor costs are lower and this carries through to reduced costs to you, our customer.
Solutions For Different NLP Labeling Types
Text classification is only one of the many services we offer our clients. We also offer many other NLP labeling types. Let’s take a look at some of the services:
Text annotation
Textual data is rich in information, but often not used as it takes up too much time and resources. We use our technology and labellers and identify the intent, emotions, requests, names, and other elements in the text. This process results in structured, organized usable data for your next AI application.
Video transcription
Video files are transcribed using automatic speech recognition technology into text format, which is easier and better for you to feed into your AI application. The transcription process also dramatically reduces the size of the data files and will save you storage space.
Relation extraction
As a vital part of NPL text classification, this is the process of predicting attributes and relations for entities in a sentence. This task is of great importance for building relation knowledge graphs. It is also vital to structured search, question answering, sentiment analysis and summarization applications.
Named entity recognition
This labeling process identifies key information in the text as “entities” and then classifies it into predetermined categories. The key information can be words, phrases or sentences.
Chatbot training
Chatbots are used on almost every single website nowadays, responding to users’ questions, queries or statements. We can assist with chatbot training through our labeling processes.
Sentiment analysis
Sentiment analysis is a very powerful tool, especially for companies needing feedback from their customers. Our text categorization team can assist by processing this data and helping you make better business decisions in the future.
Get In Touch to learn more about our
ML text classification services
and discuss your annotation needs.
Three Main Models of Cooperation We Offer
We believe that all businesses are ever-changing and, therefore, different solutions are needed for different scenarios. At Mllabeling.com, we provide three main models of cooperation, so you can choose the solution that best works for your text classification NLP project. Let’s take a quick look at these three different models:
Managed text classification service
We have full teams ready to work on your large-scale datasets. Our NLP document classification teams are flexible, reliable and have great communication skills. We will follow your guidelines to the smallest detail and deliver fast and reliable results.
Part-time text classification specialist dedicated to your project
If you have just started your AI project or have a reduced workload, we can assist by having a dedicated part-time data labeller at your disposal. Our data classification machine learning labellers will be available during set hours and dedicated to your project during these hours.
Full-time text classification specialist fully dedicated to your project
We can also assist you in having a full-time labeller dedicated to your labeling needs, should your project require it. Our team will consider the annotation types, industry and workload and come up with the best solution for your specific needs.
Frequently Asked Questions
Our team answers some of the most common questions you may have below:
Which industries does Mllableing.com support?
Our labeling and NLP classification solutions support many industries like IT, telecommunications, healthcare, security, e-commerce, real estate, agriculture, and the automotive industry. We will always consider your industry and recommend the best solution for you should you not fall into one of these industries.
Do you work according to certain time zones?
Time Zones can become an issue when working with remote teams and cause problems in communication. Luckily, we work in a time zone similar to most European countries and US states.
How can your services benefit an AI-powered software project?
We ensure you get high-quality data to make your machine learning document classification projects work flawlessly. Our dedicated team of experts have proven track records of delivering accurate and reliable results within the timeframe set.
Ready to add a text classification specialist to your team? Simply fill in our contact form. One of our friendly agents will contact you to discuss your needs.