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.
Unicsoftās team can harness this powerful technology for you so you can hear the true voice of your data.
- 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.
Challenges of NLP Implementation
The quality of your input determines how accurate and relevant the resulting insights will be. This applies to both the raw data youāre 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.
To efficiently train ML algorithms, youāll need to process heaps of data at high speeds. This means that youāll 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.
Humans communicate in complex ways. Untangling the twists in meaning, detecting irony and sarcasm, differentiating between homonyms ā 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.
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
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.
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.
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.
Topic clustering & summarization
Businesses with multi- or omnichannel marketing can benefit from topic clustering ā 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.
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.
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?
We provide a Natural Language Processing (NLP) solution for any challenge
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.
Unicsoftās experienced deep learning engineers examine the feasibility of a startupās idea prior to development. We eliminate all development issues, ensuring on-time completion at reduced costs.
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.
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.
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.
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.
Natural Language Processing (NLP) Services
Discovery Stage
Product Feasibility Study
Product Development
Support and Maintenance
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
Natural Language Processing case studies by Industries
Harness NLP by extracting data and making predictions regarding the stock market; NLP can read and understand thousands of financial documents; and reviews usersā digital footprint via machine learning algorithms to convert data into credit scores.
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.
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.
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 customersā reviews.
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.
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