Natural Language Processing, or NLP, is a bridge between human language and machine understanding. It enables a business to make the most of its unstructured data, collected from customer feedback, reviews, social media, and other sources, to detect sentiments, automate processes, and make smarter decisions. There are other use cases of NLP, which can be availed when you get custom Natural Language Processing services in India from a trusted company like Quytech.
Types of Solutions that You can Build with NLP Services
By choosing cutting-edge NLP services, you can build a wide range of apps and solutions, including:
Personalization
- Chatbots & Virtual Assistants
- Voice Assistants
- Multilingual Support Systems
- Sentiment Analysis Tools
- Text Summarization Engines
- Topic Modeling & Trend Analysis
- Intelligent Document Processing (IDP)
- Information Extraction Systems
- Knowledge Management Platforms
- Semantic Search Engines
- Question Answering Systems
- Assistive Search Tools
For other use cases, depending on your specific business needs, you can connect with a reputed Natural Language Processing company. Their experts will help you understand the potential of NLP and its use cases for your business.
Core Challenges that can be Addressed with Custom Natural Language Processing Services in India
While implementing NLP in your business processes, you may encounter several challenges that can be overcome with NLP services from a trusted Natural Language Processing company. These challenges are:
Overwhelmed by Feedback Volume
One of the biggest challenges associated with Natural Language Processing development is that businesses may get overwhelmed by the volume of customer reviews, survey responses, and social media comments. They may not be able to process this data with manual practices.
Get reliable NLP services from a reputable NLP development company to build a dedicated solution that can automate the collection of unstructured data from various sources and derive meaningful insights from it.
Inefficient and Reactive Customer Service
Businesses with a large customer base may find it challenging to handle and triage critical issues within support tickets. This may impact customer experience as the response time will be slower.
Invest in NLP development to get solutions that can automatically detect urgency or sentiment of the query and accelerate responding to them.
Error-Prone Manual Document Handling
Another challenge that you may encounter with NLP implementation is manual document handling that relies heavily on manual resources and is time-consuming. Human professionals require hours to days to process documents to extract useful information
Intelligent document processing solutions built by an NLP development company can overcome this challenge. These solutions can automatically process contracts, reports, and forms to bring critical insights.
Key NLP Techniques that are Used for Natural Language Processing Development
A reputed and experienced NLP app development services provider utilizes top-notch NLP techniques to build custom Natural Language Processing development solutions. These techniques include the following:
Tokenization & Text Preprocessing
This technique is commonly used by NLP App Development services providers to break down raw text into smaller and manageable components for easy processing. They also utilize these techniques to remove noise and stop words.
Part-of-Speech (POS) Tagging
NLP development services providers use POS tagging to identify grammatical elements and enable NLP models to understand the right sentence structure. It makes the models capable of text summarization, syntactic analysis, and serving other purposes.
Named Entity Recognition (NER)
Custom Natural Language Processing services in India utilize NER to detect and classify entities for smarter data organization, automated tagging, and knowledge graph construction.
Lemmatization & Stemming
Lemmatization and stemming techniques are used by any Natural Language Processing company to convert words to their root forms. This makes NLP systems and solutions capable of interpreting variations of the same word to deliver accurate output.
Dependency Parsing
When you choose NLP services in India, their professionals rely on dependency parsing to analyze grammatical relationships between words of a sentence. This enables NLP models capable of understanding the meaning, intent, and context of the information.
Word Embeddings & Vectorization
NLP services providers use embeddings like Word2Vec, GloVe, and BERT. These embeddings represent words as vectors, including semantic meaning. With this, NLP models can understand relationships between words and context.
Sentiment & Emotion Analysis Models
With these NLP techniques, NLP models become capable of identifying the tone and emotions behind text.
Apart from the aforementioned, some other popular techniques used by NLP services providers are transformation-based models, topic modeling & clustering, semantic analysis, and contextual understanding.
How to Choose the Best NLP Development Company
Choosing the best NLP App Development services provider requires analyzing AI, ML, deep learning, and, of course, NLP expertise, domain understanding, and the ability to deliver scalable solutions. Here are some points you should consider to find and partner with a custom Natural Language Processing solutions provider:
- Verify their NLP expertise and technical proficiency.
- Make sure they offer custom and scalable Natural Language Processing development services.
- Ensure the NLP development company has a thorough understanding of various NLP use cases.
- Check the data handling and security practices of the NLP development company. Make sure they are conversant with compliance and regulatory requirements.
- Make sure the company that offers custom Natural Language Processing services in India has served multiple industries, including yours.
- Verify if the NLP development company can offer NLP integration services.
- Ensure the Natural Language Processing company offers post-launch deployment support and continuous optimization services.
- Check the NLP development company’s communication practices. Make sure their experts share regular progress reports and are reachable.
- Don’t forget to check the portfolio and case studies of the company offering NLP services.