NLP-powered Learning Management Systems offer automatic classification of e-learning materials; document search functionality; matching student knowledge and course content; automatic evaluation; and content analysis of e-learning and existing course content.
NLP Development Services and Consulting
With natural language processing, you can turn unstructured text and voice data into insights and value. Top-performing and automated decision making is possible with innovative NLP solutions that automate processes and bolster business intelligence.
Unicsoft’s team can harness this powerful technology for you so you can hear the true voice of your data.
Translate disparate data into real-world business benefits with NLP
- Modernizing existing processes and implementing new strategies with the help of NLP solutions requires specific competencies in AI and data science that only a tech partner with relevant expertise can provide.
- Unicsoft offers world-class NLP services, from consulting to development and maintenance. Our team can complete any NLP project while meeting your requirements, deadlines, and budget.
Unlock the potential of your data with natural language processing services by Unicsoft
Challenges of NLP Implementation
The technology behind NLP is sophisticated. So, to get results, a team should have data science, ML algorithm training, and basic linguistics expertise. If you want to implement an NLP solution, you need a tech partner that can help you resolve the following challenges:
Data quality
The quality of your input determines how accurate and relevant the resulting insights will be. This applies to both the raw data you’re going to analyze and to the datasets used for ML training. Feeding the system data that contains errors or has been poorly labeled or annotated is not an option.
Storage requirements
To efficiently train ML algorithms, you’ll need to process heaps of data at high speeds. This means that you’ll need reliable and secure storage for large volumes of data. Choosing cloud data storage with modern equipment and fast access is critical for the success of your NLP project.
Language complexity
Humans communicate in complex ways. Untangling the twists in meaning, detecting irony and sarcasm, differentiating between homonyms — NLP has to deal with all of that and more. To build a working NLP solution, your team needs to know the limitations of the tech and be skilled enough to overcome them.
Development time
Preparing data and training ML tools is the most time-consuming part of developing NLP-based software. To minimize delays, your team must be well-versed in the current data processing techniques and pick the best environment for the job. With the right choices, you could save weeks or even months on your project.
NLP Applications in Business
After delivering multiple projects and spending many hours consulting on all things NLP, our team at Unicsoft can confidently provide qualified NLP services for most industries. Here's a summary of common use cases.
01
Smart document analysis
Extract valuable data from unstructured sources such as text, audio and image files, and turn them into actionable insights using NLP techniques. Achieve unmatched speeds and scale easily as your business grows. Smart document analysis is an essential use case for natural language processing solutions.
02
Question-answer systems
Question-answer systems enable virtual assistants and chatbots to understand queries and formulate answers in natural language. Passage retrieval focuses on indexing text sources, so your users quickly get relevant search information instead of having to read entire documents.
03
Sentiment analysis
Analyze publicly available data on social media to understand your customers' emotional responses. How does your audience really feel about the new product? How were the latest updates to your return policy received? Capitalize on the insights gained from your data by promptly reacting to your customers' opinions and attitudes.
04
Topic clustering & summarization
Businesses with multi- or omnichannel marketing can benefit from topic clustering — a technique that allows grouping together data from various sources that refer to the same topic. Thanks to summarization, NLP solutions can sift through texts, presenting the most critical data in the form of a short summary.
05
Intent classification
Knowing your customer's goal is a priceless business tool for sales and marketing. After training with labeled datasets, your NLP-powered software will be able to discern typical intents, so you can provide a more personalized experience and predict your customer's reactions.
06
Fraud detection
NLP can be very instrumental in detecting and preventing fraud. By aggregating and processing data from fraudulent payment claims and comparing them to legitimate ones, the software's ML algorithms can learn to detect signs of fraud. NLP can also help identify account takeovers by detecting changes in wording and patterns.
Why Unicsoft?
Cross-domain expertise
Unicsoft has successfully positioned itself ahead of artificial intelligence trends for over 10 years. Our battle-hardened developers know how to take emerging technologies and turn them into revenue-generating tools for businesses.
Delivered dozens of AI/ ML projects
We’ve built custom AI-powered software solutions for various industries, including fintech, retail, education, supply, and others.
Award-winning company
Unicsoft is a world-renowned AI development company featured in the top vendor lists of Clutch, GoodFirms, and Hackermoon.
Full-cycle software development
At Unicsoft, we have a reliable pool of AI/ML developers, data scientists, and other tech talents as well as fast and well-structured software development processes.
We provide a Natural Language Processing (NLP) solution for any challenge
For StartupsStartups
For EnterpriseEnterprise
Data Collection
To provide NLP startups with representative and relevant training data we deliver data mining services, all while gathering data from a wide range of resources, as well as ready-to-use datasets.
Mitigated Technical Risks
Unicsoft’s experienced deep learning engineers examine the feasibility of a startup’s idea prior to development. We eliminate all development issues, ensuring on-time completion at reduced costs.
Delivered to Market Quickly
While NLP solutions typically require time to acquire data and train models, enterprises usually expect quick proof of concepts to prove solution viability. We assess product feasibility and deliver PoCs within tight deadlines.
Clear Performance Metrics
Unicsoft creates KPIs from the beginning of each NLP project to accurately measure ROI. Metrics may include an increase in conversations, decrease of low-value contacts, or reduction of processing time.
Tailored to Business Requirements
Unicsoft analyzes enterprise business processes from project onset to scope NLP use cases to those that will benefit real customers. We create a user journey that delivers value.
End-to-End Technology Support
Unicsoft provides full-cycle NLP product development services: managing data and models, continually monitoring system performance, and maintaining IT ecosystem. This ensures smooth product integration within the company and continuous efficiency.
Want to start your NLP project with an experienced partner?
Natural Language Processing (NLP) Services
Discovery Stage
Unicsoft defines the problem and creates a solution. We explore company processes, information, and data requirements, and offer solutions that natural language processing (NLP) and machine learning can address.
Product Feasibility Study
We utilize customer data and build machine learning models to assess the potential of natural language understanding. We ensure there is enough high quality data, choose the most effective product development for the budget, and deliver the best for end users.
Product Development
We create and implement a product roadmap that considers all relevant requirements regarding system performance, data robustness, and security. We design a product MVP to speed up time to market and ensure immediate traction.
Support and Maintenance
Unicsoft customers can focus on their business while we ensure the availability of the developed system and implement improvements to ever-changing conditions. Our flexible machine learning specialists keep systems running smoothly.
Natural Language Processing Techniques
Information Extraction
With machine learning, we extract structured information from unstructured data or semi-structured data to retrieve useful and valuable information.
Text Classification
Text categorization creates segregated structured data that is easier to search and organize, reducing errors, providing insights, and saving time.
Named Entity Recognition
Our advanced NLP system locates and classifies specific words within unstructured data into predefined categories, improving entity extraction.
Intent Classification
NLP provides a sophisticated understanding of linguistic nuances, while identifying intent and objectives. The system classifies text into various datasets.
Relationship Extraction
We utilize Relation Extraction (RE) to detect and extract semantic relationships from texts, which usually occur between two or more entities.
Content Clustering
Our NPL system creates an unsupervised technique of identifying structure within documents, which allows similar documents to be grouped together.
Fact Extraction
After calculated text extraction, we then complete high quality databases of structured information for analysis, visualization, and flagging issues.
Text Generation and Summarization
Text generation automatically extends or converts a body of text into a coherent and structured document, or summarizes key points.
Unicsoft's NLP Implementation Process & Techniques
01. Data acquisition and preprocessing
Finding quality datasets for training ML algorithms is the first step toward building a capable NLP system. Our experts obtain training data from reliable public sources and augment it or generate additional data when necessary. We merge, clean, and normalize the acquired data, and then label it before loading it into the ML pipeline.
02. Model engineering
Our data science engineers build the ML model that will be the best fit for your project's needs. To do that, our team must choose which ML algorithms to employ, test different setups, and validate the model that performs best.
03. Raw language processing
We use raw processing to standardize, clean, and enrich raw data obtained from various sources like plain text, PDFs, images, or even video files. This includes metadata extraction, discarding segments of generic text, and other services that facilitate processing content.
04. Text analytics
Also called text mining, this is an essential technique for drawing insights from unstructured data. The process involves breaking the text down into components for later analysis. This includes identifying parts of speech — such as noun and verb phrases, and punctuation — as well as linking together sentences by topic.
05. Text extraction
This ML-based method is used to quickly identify specific words or phrases such as names, email addresses, and characteristics like color, size, model, and so on.
Natural Language Processing case studies by Industries
E-learning
Finance
Harness NLP by extracting data and making predictions regarding the stock market; NLP can read and understand thousands of financial documents; and reviews users’ digital footprint via machine learning algorithms to convert data into credit scores.
Healthcare
NLP identifies key words within clinical records and patient feedback to provide benchmarks regarding patient experience; collects and analyzes healthcare reviews on third-party sites; and transcribes physician/patient conversations automatically.
Legal
NLP understands and predicts law by converting unstructured text into formal data to be processed and analyzed. There is vast digitized legal text data that can improve the effectiveness of legal services through natural language processing.
E-commerce
NLP provides smart product recommendations that combine insights and suggestions for customer engagement; semantic-based search learns purchasing habits and personalizes product rankings; and sentiment analysis provides data on customers’ reviews.
Marketing
NLP analyzes social media content and product reviews to produce data insights; more effectively monitors competition; and handles unstructured social media data to help identify key influencers and determines if content resonates with followers.
Want to start your NLP project with an experienced partner?
What our clients say
What our clients say
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FAQ
What is NLP?
Natural language processing is a branch of artificial intelligence created to train computer systems to interpret written and spoken language in the way humans do. NLP solutions can recognize, translate and generate speech, extract data and meaning, and make inferences.
What are the main subfields of natural language processing?
The subfields of NLP include text processing, speech recognition, and speech synthesis. Development teams usually apply different combinations of these subfields when building natural language processing solutions.
What is the main challenge of creating natural language processing solutions?
Understanding the actual meaning of spoken and written language. The devil is in the details — our speech is nuanced, full of ambiguity and misleading cues. We can extract data, but what value will it have if interpreted incorrectly? That's why human input from seasoned experts is vital for developing natural language processing solutions.
Why should I choose your NLP services?
Unicsoft offers a potent blend of relevant expertise and focused hard work. We are rated highly by our clients who recommend our services and keep coming back for more. Our strong background in blockchain, big data, and AI helps us deal with tasks of any complexity, while Unicsoft's team never stops learning and is always ready for new challenges.
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