Natural Language Processing Service
Grow your business with NLP and become a leader in your industry
Grow your business with NLP and become a leader in your industry
Natural Language Processing or NLP is
a symbiosis of Artificial Intelligence and Linguistics. In other words, it is the process of computing and understanding human language through systems. NLP has already been fully implemented in our everyday life, and made every second of it easier. Find out how it works and what services will help you implement it.
Natural Language Processing
Managing Human-Computer Dialog System
Machine Perception
Natural Language Generation
Natural Language Understanding
Natural Language Classifier
will develop a solution for you that will fulfill your demands, save you resources, and improve customer service and profits.
will develop a solution for you that will fulfill your demands, save you resources, and improve customer service and profits.
Tasks of Natural Language Processing
Depending on the needs and goals, there are quite a lot of tasks in the NLP pipeline,
but we will consider only the most common ones.
01
Automatic Speech Recognition or ASR
One of the most popular NLP tasks that involves the reliable transformation of voice data into full-fledged text. The real challenge for systems is the peculiarities and individuality of human speech – the vagueness, accent, intonation, speed, and stresses – all of these are of great importance for text processing. However, human speech recognition tools have a fairly low rate of word error.
02
Text classification
In this case, the system faces the task of assigning a category or class to a certain fragment of text entered in natural language. Machine Learning Algorithms divide voluminous fragments of documents or text data into categories, which allows to optimize work processes. Such classification has many applications, including filtering spam or analyzing medical devices.
03
Word Disambiguation (WSD)
Using semantic analysis, polysemous words are reduced to the meaning that makes the most sense in the given context. The software helps to disambiguate texts and distinguish between their meanings. Here Machine Learning algorithms are used to improve context identification.
04
Text-to-speech (TTS)
The opposite task of ASR is converting text to audio. Then the task of NLP is to process audio information and give it in human language. Such software is widely used in visual aids and makes the product or content more inclusive. This allows people with disabilities to use certain services.
05
Topic modeling
The main purpose of segmentation is to extract key topics from a document. The system analyzes various linguistic features, such as repeated references to the topic or events, the use of certain phrases of the language to create a connection between ideas, repetition of vocabulary, etc. Each of these aspects is measured to build a thematic model, which in turn is built using Machine Learning or Statistical methods. At the same time, the complexity of such a model already depends on the information available for it.
06
Sentiment analysis
The analysis of opinions, also called the analysis of thoughts or emotions, is aimed at understanding the emotional tone of the text. With the help of NLP algorithms, opinions are assigned to certain words, based on the lexical series with which they are associated. The model classifies text based on emotions and even intentions. In this way, the system can analyze whether it has a complaint, a request, or an opinion. The use of such a service is reduced even to reviews of products in the supermarket, not to mention the widespread use in the marketing field to assess the level of sales and customer interest.
Harness the Power of NLP
Natural Language Processing and Business Solution
Healthcare
With the use of Natural Language Processing, the system can segment long medical records, reducing them to the most important points. Together with the use of NLP, a simplified electronic health record (EHR) interface was created that automates the search for information about patients’ doctor appointments. Using NLP, analysts have gained access to vast amounts of patient data information to classify them by phenotypes and groups.
Economy and commercial industries
It doesn’t matter in which specific branch of the economy you work, NLP will help to improve your service because thanks to it you will be able to automate the mechanisms of proposals or recommendations, set up machine translation and sentiment analysis, and much more.
Business
Any business requires always promptness, so the Amazinum team has a brilliant solution for you – NLP. You will be able to easily extract key information from unstructured documents that usually come in scanned form and much more.
Legal Field
If you are the owner of a legal business, the Amazinum team knows how to make it even more successful and customer-oriented. For this, you need to trust us and the potential of NLP. You will automate the processing of legal documents. NLP gets contract names, key names, and required data, and can even make the document anonymous.
Finance
In the field of finance, it is important to be accurate and on time, so NLP is exactly what will provide you with these functions. Increase data with the help of a virtual assistant or chatbot, which helps to save financial resources and increase comfort, structure appeals and complaints to the right department, and timely and qualitatively answer basic questions.
Healthcare
With the use of Natural Language Processing, the system can segment long medical records, reducing them to the most important points. Together with the use of NLP, a simplified electronic health record (EHR) interface was created that automates the search for information about patients’ doctor appointments. Using NLP, analysts have gained access to vast
amounts of patient data information to classify them by phenotypes and groups.
Economy and commercial industries
It doesn’t matter in which specific branch of the economy you work, NLP will help to improve your service because thanks to it you will be able to automate the mechanisms of proposals or recommendations,
set up machine translation and sentiment analysis, and much more.
Business
Any business requires always promptness, so the Amazinum team has a brilliant solution for you – NLP. You will be able to easily extract key information from unstructured documents 
that usually come in scanned form and much more.
names, key names, and required data, and can even make the document anonymous.
right department, and timely and qualitatively answer basic questions.NLP has already been fully implemented in our everyday life, and every second it is made easier. Nevertheless, they still create a huge potential for optimizing your business or product.
You can
- automate routine processes
- direct your resources toward ideas and creativity
- transform your business, make it convenient for the client
- create high-quality content and analytics on various issues
- automate routine processes
- direct your resources toward ideas and creativity
- transform your business, make it convenient for the client
- create high-quality content and analytics on various issues
Trust Amazinum Data Scientists and then your clients can easily trust you.
Applications of Natural Language Processing
Language Translation
Social Media Monitoring
Automatic Summarization
Predictive Text
Chatbots
Document Analysis
Online Searches
Sentiment Analysis
Email Filtering
Smart Assistant
Language Translation
Social Media Monitoring
Automatic Summarization
Predictive Text
Unlock Insights from Text
Unlock Insights from Text
Companies that already use Natural Language Processing
Large and successful companies have long been using NLP to improve their business and make it more efficient.
Large and successful companies have long been using NLP to improve their business and make it more efficient.
Dropbox
Application: By comprehending natural language queries, Dropbox integrates NLP for content organization, document search, and enhanced collaboration.
Zoom
Use: Zoom leverages natural language processing (NLP) to improve the functionality of its video conferencing platform and to provide features like automatic transcription.
TikTok
TikTok uses natural language processing (NLP) to curate personalized content feeds, understand user language during user interactions, and recommend content.
Samsung
Use of natural language commands to control and communicate with Samsung devices is made possible by Samsung’s integration of natural language processing (NLP) into its virtual assistant Bixby.
Tradeshift
Application: Tradeshift’s supply chain and procurement platform leverages natural language processing (NLP), allowing companies to comprehend and handle requests in natural language used in procurement workflows.
Adobe Sensei
Use: Adobe’s AI platform, Adobe Sensei, incorporates natural language processing (NLP) to improve a range of creative and marketing tools, as well as for content analysis and image recognition.
Application: To improve user engagement on its professional networking platform, LinkedIn employs natural language processing (NLP) to deliver personalized content and make job recommendations.
Hootsuite
Application: Hootsuite makes use of natural language processing (NLP) to analyze sentiment, measure social media content effectiveness, and perform social media analytics.
Salesforce
Use: For tasks like sentiment analysis, customer support, and comprehending customer interactions, Salesforce incorporates natural language processing (NLP) into its CRM platform.
Ahrefs
Utilizing natural language processing (NLP), Ahrefs is an SEO tool that analyzes content, finds keywords, and offers suggestions for improving website content.
Grammarly
Application: Grammarly checks written content for grammar errors, suggests styles, and improves language using natural language processing (NLP).
FAQ
Gensim, SpaCy, IBM Watson, Natural Language Toolkit (NLTK), MonkeyLearn, TextBlob, Stanford Core NLP, and Google Cloud Natural Language API.
One of the most significant computer science techniques is natural language processing, or NLP, which is essential to many fascinating applications like artificial intelligence (AI) and chatbots. Statistical techniques, stochastic techniques, rule-based techniques, and hybrid techniques are the four categories of techniques.
Artificial Intelligence (AI) has a subfield called Natural Language Processing (NLP). It facilitates the processing and comprehension of human language by machines, enabling them to carry out repetitive tasks automatically. Machine translation, summarization, ticket classification, and spell checking are a few examples.
Amazinum Portfolio
The Amazinum team developed NLP solutions for various business sectors.
Check out our NLP projects to see how implementing solutions can make your life easier.
The Amazinum team developed NLP solutions for various business sectors.
Check out our NLP projects to see how implementing solutions can make your life easier.
Artificial Intelligence & Machine Learning for SEO & Content Management Software
Our Industry Focus
Our industry knowledge and background give our clients and partners confidence that we understand their business. Here we highlighted a few top industries we are good at, penetrating to the smallest details and nuances of a certain branch.
SEO & Marketing
Healthcare
Safety & Security
Sport
E-commerce & Retail
Gambling and Casino
Manufacture
Ecology
FinTech
Energy
Localisation
IoT
Vitaliy Fedorovych
CEO, Data Scientist at Amazinum
Hello there!
Amazinum Team assists you through all data science development processes:
from data collection to valuable insights generation.
Get in touch with our CEO and Data Scientist to figure out the next move together
- 4A Peremohy square, Ternopil, Ukraine, 46000
- +380 98 85 86 330
- vfedorovych@amazinum.com
Contact Us
Contact Us
UKRAINE
ESTONIA
Amazinum OÜ
Registry Code: 16893164
