Machine learning
Natural Language Processing
Discover the transformative potential of Natural Language Processing (NLP) with our state-of-the-art solutions. Our NLP expertise leverages advanced linguistic technologies to enable systems to seamlessly and intelligently comprehend, interpret, and respond to human language.
Our NLP-driven solutions can enhance customer interactions through intelligent chatbots, provide sentiment analysis for insightful decision-making, and extract valuable information from textual data. Unlock the potential of NLP to elevate your business to new heights of innovation and understanding.
NLP Techniques
01
Tokenization
Breaks down text into smaller units (tokens), such as words or phrases, for analysis.
02
Part-of-Speech (POS) Tagging
Assigns grammatical categories (e.g., noun, verb, adjective) to each word in a sentence.
03
Named Entity Recognition (NER)
Identifies and classifies entities (e.g., names of people, organizations, locations) within a text.
04
Sentiment Analysis
Determines the emotional tone or sentiment expressed in a piece of text, classifying it as positive, negative, or neutral.
05
Stemming and Lemmatization
Reduces words to their base or root form to simplify analysis and improve matching accuracy.
06
Syntax and Dependency Parsing
Analyzes the grammatical structure of sentences, identifying relationships between words.
07
Coreference Resolution
Resolves references to the same entity in a text (e.g., identifying that “he” refers to a previously mentioned person).
08
Text Classification
Categorizes text into predefined categories or topics based on its content.
09
Machine Translation
Translates text from one language to another using machine learning algorithms.
10
Question Answering
Develops systems that can understand and answer questions posed in natural language.
11
Word Embeddings
Represents words as vectors in a high-dimensional space, capturing semantic relationships between them.
12
Topic Modeling
Identifies topics within a collection of text documents, allowing for the categorization of content.