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How NLP works
NLP leverages the powerful computational technique of text mining and sentiment analysis to transform unstructured data into insights.
Types of NLP Annotation
Natural Language Processing (NLP) is a subfield of artificial intelligence that enables machines to understand, interpret, generate, and alter human language to present a well-structured informative piece within seconds. LP opens the door to personalized interactions and insights that facilitat human-machine communication, paving the way for the future of technology.
Sentiment Analysis
A model to classify the sentiment of a text is useful in applications like social media monitoring and customer sentiment analysis.
Named Entity Recognition
NER is highly effective when training a model to automatically identify and classify them via information extraction and document classification.
Part of Speech (POS)
Part of Speech (POS) is used where it is required to improve tasks such as parsing, information extraction, etc.
Text Classification
Documents are classified by data annotators based on type and predefined categories and assigned labels after analyzing the meaning and context.
Machine Translation
Machine translation helps translate languages from different countries. By translating text from one language to another, it gives a deeper insight into the cultural context of a nation.
Speech Recognition
Speech Recognition vastly trains a model to automatically recognize and transcribe speech.
Chatbot
Our intuitive AI Assistant can generate an Instagram chatbot conversation in minutes.
NLP Applications
Facilitate human-machine communication, paving the way for the future of technology.
Chatbots & Virtual Assistants
Our experts help you control various home devices remotely via smartphones or voice commands. Implement energy-efficient solutions with smart thermostats, lighting.
Language Translation
NLP facilitates real-time language translation, breaking down language barriers and enabling seamless communication between individuals and businesses worldwide.
Sentiment Analysis
NLP is employed to analyse social media, reviews, and other platforms, gauging public sentiment towards products, services, or brands.
Information Extraction
NLP enables the extraction of relevant information from large volumes of unstructured data, streamlining the process of data mining and analysis.
Frequently Asked Questions
Natural Language Processing (NLP) is a machine learning technology that extracts, analyzes, generates, and comprehends human language.
Natural Language Processing is not without its share of pitfalls and challenges. Some of the issues are: misrepresentation of words because of a word having multiple meanings, limited training on data when it is multilingual or inheriting biasness from the trained data, that is limited to provided information.
NLP uses techniques like contextual word embeddings, syntactic parsing, and machine learning models to analyze surrounding text and identify the intended meaning. However, complete elimination of ambiguity remains a challenge due to the complexity of natural language.
Natural Language Processing is used in a variety of fields, including virtual assistants like Siri or Alexa, machine translation (e.g., Google Translate), sentiment analysis, chatbots, text summarization, and voice recognition systems.
Machine learning provides the foundation for many NLP tasks by training models on large datasets to recognize patterns in language. Algorithms like deep learning are used to improve performance in tasks such as language modeling, speech-to-text, and natural language understanding.
With the help of our Natural Language Processing (NLP) services, transform how your company interprets and uses language. Through chatbots, voice assistants, and sentiment analysis, we give your systems the ability to process, interpret, and produce human language, enhancing customer experiences. Our NLP solutions can help your company interact with customers more successfully, make better decisions, and streamline operations.
