In an increasingly data-driven global village, businesses are searching for innovative ways to leverage vast volumes of customer data to carve out a unique selling position. One of the richest sources of this data comes from social media texts and product review descriptions. However, this treasure trove of information is largely unstructured and unreadable to machines, making it only partially usable. This limitation is particularly evident in the realm of natural language processing (NLP) and machine learning, where models need labeled data to accurately learn the true meaning and context of specific text.
That’s where data labeler comes in. These experts help machine learning models focus on specific images, videos, documents, or text by drawing bounding boxes, performing document classification, and labeling them in a way that the algorithms can understand.
With the surge in artificial intelligence and machine learning projects, the demand for skills in text and data labeling has skyrocketed. This has left many cash-strapped companies struggling to fill vacant positions in text clustering, labeling, and document classification. Unsurprisingly, a growing number of companies are turning to outsourcing to bridge this skills gap.
If you’re considering outsourcing your NLP and data labeling needs, our company offers a vast pool of qualified candidates and a robust referral system. This enables us to provide our clients with fast, reliable, and flexible solutions tailored to their specific requirements in machine learning, labeled data, and document classification.
Common Mistakes in Text Data Labeling
At the first glance, image or text data labeling might seem easy for an inexperienced eye. But in reality, it is much more convoluted and complex than it appears. That’s why outsourcing text annotation services and labels to professionals is a sure way to avoid common and costly mistakes.
The most common mistakes in text data labeling include:
1. Inconsistent labeling of white space and punctuation
For example, one labeler might use “cat” and another ”cat”, or even “ cat “. Factually, all three variants are correct and for a human all objects are cats. But for a machine, these are three different variants. Although the mistake seems very little, it leads to an inconsistent data set and thus low precision and performance of a system. It is important to have specific guidelines in terms of annotation to eliminate such errors.
2. Nesting annotation
This mistake appears when you deal with phrases that can be annotated in several ways because they feature several concepts nested together. For example “The Prime Minister of the United Kingdom Rishi Sunak” can be annotated as a whole to identify the person or separated into “The Prime Minister of the United Kingdom” as the position and “Rishi Sunak” as a person. Or it can be even separated into smaller tags like for example “Prime Minister”, “United Kingdom”, and “Rishi Sunak”.
3. Adding new types of entities during the project
If you decide to add a new entity in the middle of the project file, it compromises all previously processed sets of data. They do not have such an entity to model to begin with, which can lead to errors and incorrect identification. This means that when you add a new entity, you have to start all over again.
4. Incorrect fit
Without standardized instructions files, there might be a lot of errors in terms process of finding and tagging entities. Even the smallest details might compromise the whole set of data.
If you outsource text file annotation to professionals you can eliminate such errors because experts are knowledgeable of risks and have specific procedures and tools in place to avoid them.
Text Annotation Services We Offer
As a full-service staffing agency headquartered in Ukraine, we help companies recruit the right text annotation talent for a wide array of industries. Our solutions range from on-the-spot replacements and complete team-building, and we work with both multinational and small corporations. If you are wondering how the professionals we hire can help your business, here are some of the services that they can offer.
Text Transcription
Timely and accurate transcriptions of documents are key in making your text documentation usable. Our professionals are committed to delivering expedient, high-quality document transcription services. They will provide an all-inclusive OCR transcription package, ultimately reducing all the costs associated with hiring data entry specialists. By allowing them to handle the data entry load, you can focus your energy toward developing your product.
Text Categorization and Classification
A lot of data collected by businesses from different sources is largely disorganized and unstructured, which makes it difficult to extract any value from it. Text classification entails assigning tags and categories to this unstructured data, and it is used to label topics, detect spam, and create clarity on the intent of users. Our data annotation specialists will help you clean, organize, and define relationships in a deluge of data in the most efficient and economical way possible.
Named Entity Linking, Recognition, and Tagging
Text sentiment analysis allows businesses to pick customers’ opinions and sentiments about their brand and subsequently create a highly accurate visual representation based on text data analysis. This is particularly important in identifying loopholes in areas such as PR and marketing campaigns, ensuring that future campaigns resonate with your customers. Our data annotators will help you to analyze the data from different platforms including social media chats, customer review pages, product reviews, call centers, questionnaires, and mass media.
Sentiment and Intent Analysis
Text sentiment analysis allows businesses to pick customers’ opinions and sentiments about their brand and subsequently create a highly accurate visual representation based on text data analysis. This is particularly important in identifying loopholes in areas such as PR and marketing campaigns, ensuring that future campaigns resonate with your customers. Our agency will help you recruit highly-effective professionals to analyze the data from different platforms including social media chats, customer reviews, product reviews, call centers, questionnaires, and mass media.
Phrase Chunking
No matter what question you think about, there’s a high level of likelihood that somebody somewhere has the answer written down. There’s a staggering amount of natural language text in electronic form today but the complexity of natural language makes it difficult to access it in that text. Worse still, NLP is still in its infant stages and a lot needs to be done before a universally accepted meaning of unrestricted texts is developed. Our huge talent pool has phrase chunking experts, and they will help label various parts of speech using grammatical and linguistic settings, making it understandable to ML, NLP, and AI models.
SAO (Subject Action Object)
When a text or sentence contains multiple entities that are linked by an action, it can be hard for NLP models to understand them. For example, ‘Kim sues Jane’, is open to text classification and entity annotation, whereby a tag concerning law-based discussion has been added. For the ML or NLP model to understand the text, however, it needs to be fed SAO data, making Kim the subject, Jane the object & suing the action. Our text annotation professionals will help you to convert unstructured textual data into structured textual data featuring subjects, objects, and actions.
Text Annotation With Right Metadata Labeling
Different elements present in a document can be expounded with a significant concept inversely related to their nature. Our text annotators can help with crafting descriptive information to text elements and label images, allowing you to create accurate data sets that can be easily identified, interpreted, and utilized by machines.
Linguistic Annotation
Also commonly referred to as corpus annotation, linguistic annotation is a form of textual dataset labeling that deals with language details texts and audio. Along with labels used with that, it also incorporates semantic annotation, phonetic annotation, and POS tagging, and it is a tool mostly used when training machine translation models.
Text Data Moderation
A text annotator/s hired by our agency will also help detect and filter millions of unwanted words, word phrases, character insertions, letter replacements, leet-speak, obfuscation, phonetic variations, hyphenation, embeddings, and special characters, improving the quality of the data formats your datasets.
Main Industries We Assist
Our dedicated text labeling team makes your text datasets usable for training AI models. Below are some of the industries that our hires can work in:
Media & News
Banking
Healthcare
Waste Management
Agriculture
Manufacturing
Ecommerce
Retail
3 Models of Cooperation We Offer
Navigating the intricacies of text annotation requires a service tailored to your specific needs. Explore our diverse cooperation models below to find the perfect alignment for your project’s scale and budgetary considerations.
Managed Text Annotation Services
Modify our services to meet your distinct text annotation needs. This tailored model is ideal for those with specific requirements, ensuring accuracy without the need for surplus resources.
Part-time Text Annotation Assistance
Engage a part-time annotator who will focus on your text annotation tasks. This model is designed for businesses that want flexibility in their budget, paying only for the hours the annotator works, rather than a full-time wage.
Full-time Text Annotation Expertise
For projects that demand continuous dedication, opt for a full-time professional who will immerse themselves in your text annotation challenges. This model operates on a monthly salary basis, integrating a dedicated expert into your operations.
Why Partner with Our Company and Hire
Dedicated Text Labelers?
Experienced Text Labeling Experts
Our skilled and experienced data annotators deliver world-class text annotation, document annotation, and text data collection services with the utmost accuracy by auditing data in multiple stages. Their familiarity with dashboards empowers them to conduct multi-user text annotation without a problem.
Scalable Teams
Thanks to our large pool of talented professionals, we are able to help our clients rapidly build even the largest dedicated text annotation teams, all without compromising the quality of the final results. But that’s not the best part. We provide completely flexible solutions, letting you scale your team upwards or downwards depending on your hiring needs.
Provide Outsider’s Perspective
Most NLP, AI, and ML models fail because the teams tasked with data collection and annotation unknowingly introduce bias into labeled data, affecting accuracy and skewing the final result. However, our data annotation professionals
provide an outsider perspective when annotating your data, eliminating bias from labeled datasets and improving its accuracy.
Accountability
Our highly skilled data labeling specialists worked with hundreds of clients across the world. They can work as an extension of your team, while our delivery model features built-in monitoring to support individual accountability.
Convenient Location
Our agency is conveniently located in Ukraine, which allows the teams that we help hire are able to work across multiple time zones. This is especially important if your company serves customers on different continents.
How We Hire Our Text Annotation Machine Learning Professionals
Getting started with your dedicated text labeling team is a piece of cake. Better yet, you can start by hiring a single team member and scale as your hiring needs increase.
Below is a quick break-down of our hiring process:
Find and Hire a Dedicated Text Annotator with Relevant Experience Below
Explore the availability of skilled text annotators with relevant expertise and hire them for dedicated annotation tasks below. Find and onboard experienced professionals who can provide accurate and efficient text annotation services tailored to your specific requirements. These experts can help in creating high-quality datasets and examples that are essential for training your machine learning model.
Text Tagging, Semantic Segmentation, Image Annotation
Images Annotation, Text Tagging, LIDARs
Sentiment Analysis, Named Entity Recognition
Data Annotation, Document Processing
Audio Annotation, Text Semantic Analysis, Behavior Tracking
Sentiment Analysis, Text Classification, NER
Video Annotation, 3D Point Cloud Annotation, Speech Recognition
Object Detection, Anomaly Detection, Yield Estimation
Daria – Experienced Remote Data Labeler
Object Detection, 3D Segmentation, Face Retouching
Image Annotation, Text Semantic Analysis
Image Annotation, Visual Data Processing for ML applprojects
Data Processing, Data Categorization, CVAT Annotation
Image Annotation, Video Annotation, Audio Annotation, Text Semantic Analysis
Image Labeling, Text Annotation, Categorization, Qulity Assurance
Image Annotation, Video Annotation, Audio Annotation
Named Entity Recognition, Semantic Analysis
Data Validation, Text Semantic Analysis
Object Detection, Anomaly Detection, Predictive Maintenance