Artificial Intelligence is powered by human expertise. Machines can moderate comments, engage in chatbots, find pertinent data security documents, or enhance the visibility of web pages for search engines. However, these tasks become feasible only after a human annotator marks keywords, employs semantic annotation, engages in entity linking, and creates metadata tags or identifies clusters of relevant elements in texts.
The data labelers we hire for you specialize in text annotation services. They will adeptly convert documents into text format and process them. They’ll classify your text-type digital data, assist in training chatbots to make natural language processing respond as real agents, or instruct AI to analyze sentiments and intents using techniques like semantic annotation and entity linking. We assemble teams of Ukraine-based text data annotators who deliver tasks with precision and punctuality.
The specialists of text data labeling we hire for you are happy to offer the following services:
Our text labeling practitioners will help you classify hundreds of text documents across dates, companies, locations, employees, tasks, or other parameters. We do text transcription as a part of our video and image annotation services and can convert texts on images into the format available for analysis.
The next step after natural language and identifying the sentiment is understanding the purpose of a post, comment, or statement. If, for instance, AI finds a text mentioning a specific brand, the intent analysis will show whether this text relates to news, opinion, query, marketing, appreciation, complaint, spam, etc. This helps companies prioritize queries, appreciate the positive feedback, or block spam.
This type of text classification and labeling allows ML algorithms to understand the appeal behind the words. This way, AI can detect the tone of hundreds or thousands of comments, reviews, or posts about your product or service. Machines can analyze neutral, negative, or positive attitudes in seconds, and companies can promptly respond to those messages.
Our text annotators will help your Machine Learning models check hundreds of online resources and report about those mentioning your company, names of top managers, or products. Such analysis can open new marketing opportunities, grow your brand's awareness, or protect your potential buyers from misinformation.
Metadata tags help search engines, web apps, and browsers correctly display HTML documents. Our specialists can create descriptive metadata tags to help engines find and retrieve documents. Structural metadata tags will provide information on how the document is arranged, while administrative metadata tags will show the file type and the date of its creation.
Chunking means identifying keywords or phrases in a text. Based on the Part-of-Speech (POS) tagging, this type of ML text annotation process extracts entire noun or verb phrases. Such phrases can help users find locations, proper names, brands, keywords, dates, and similar information. This way, you can structure and analyze gigabytes of text documents.
Businesses should take care of their online reputation, and annotation of text in comments and discussions is one of the effective ways to do that. Pre-moderation allows you to check if the text won't compromise your brand or clients and publish only appropriate pieces. Post-moderation allows real-time posting but will eliminate non-compliant content.
Which industries can leverage professional text marking and structuring? Here are just a few cases:
Legal documentation takes tens of hours to be processed. But with various text annotation tools, Machine Learning algorithms can streamline getting critical data from agreements, emails, and multiple relevant documents.
Identifying sentiments in customer comments and reviews allows sellers to pick valuable details. Such information can help your business improve customer experience, grow loyalty, and enhance your brand's image.
Insurers have to handle hundreds of application and proposal forms, adjuster notes, incident reports, and similar documents. Text tagging allows people to analyze information more effectively and extract necessary details faster.
Doctors have extensive databases of recorded observations training data, and diagnosis reports. Once tagged, this information can help get insights that will streamline diagnosis settings, make treatment more effective, and help patients recover faster.
Thousands of opinions, ideas, and other feedback hide in social media posts, comments, and reactions. And text annotation NLP techniques help identify valuable insights and transform them into your brand's popularity and greater revenues.
Chatbots of fintech applications need to process queries quickly, efficiently, and securely. Professional annotation of text makes this possible. Also, this technology can minimize paperwork while preparing loan agreements or estimating repayability.
We’ll be glad to equip your ML project with dedicated professionals, but first, you probably want to know how we work. Below we describe what will happen after you contact us:
Complete and send the contact form to us. Like most similar web forms, it'll ask you to share your first and last names, email, telephone, and the number of labelers you plan to hire. Our managers will pre-process this information and get back to you within a couple of hours to learn more details.
Depending on the market and your demands, our specialists can start sourcing the first resumes in the second week of our cooperation. We pre-screen candidates and show you only the best-match applicants. Once you approve the candidates, we will start interviewing them.
Since our recruiters apply proven techniques, use advanced tools, have high quality training data and leverage vast professional networks, they assemble teams quickly. Moreover, we have talent pools of qualified data labelers.
Since our recruiters apply proven techniques, use advanced tools, and leverage vast professional networks, they assemble teams quickly. Moreover, we have talent pools of qualified data labelers.
Since we keep all our processes transparent, clients can run interviews themselves or with our assistance. Our specialists can conduct technical interviews and invite you for a brief call with the applicant afterward. You'll also get a resume with recommendations in advance.
Step by step, we'll pre-assemble your team and send them job offers on your behalf. At the same time, we prepare the contract and issue the first invoice. Once you settle it, we complete the hiring process and onboard your new team members.
Why would you prefer us if there are tens of good ML text annotation companies? Let the benefits below speak for themselves:
Our recruiters explore requirements for every text annotator in your future team. By leveraging top-notch instruments, job posting channels, and HR networks, they can find the best matches for each position. Moreover, our recruiting specialists have talent pools. These databases comprise the most skilled labeling experts specializing in specific industries. And besides accessing the CVs of the best experts, you can get those resumes nearly instantly.
Text data annotation companies often leave control over their teams. Thich means you can have different specialists for your next task. But outsourcing a dedicated team with us means getting complete control over it. These professionals will work as an extended team where each member is interested in long-term work. You set tasks and control their completion, no matter which cooperation model you select.
Employing in-house labelers is more expensive than cooperating with data annotation agencies. However, outsourcing your team from Ukraine will help you save even more. Due to the lower cost of living in this country, the remuneration of high-level annotation specialists is lower too. This way, you save up to 15%-20% of your expenses compared to hiring text labeling practitioners from Western Europe or the US. So with us, you’ll pay less for top-quality datasets.
We understand you need to concentrate on your AI project. That’s why cooperation with us means we handle administrative issues. You won’t need to post job announcements, check CVs, arrange interviews, or send job offers — our managers will take care of all recruiting tasks. And after we sign the agreement, we handle the administrative routine. This includes finalizing employment contracts, renting offices, onboarding, paying salaries, reporting to local authorities, etc.
We’re glad to deliver text annotation services for NLP in Machine Learning projects that are mature and do document annotation for private entrepreneurs. That’s because we offer three cooperation models. So you can start with hiring a part-time text labeler and scale up or outsource a managed team of annotators. Adding new members to your team will take a few weeks and won’t include recruiting fees.
