NLP & TEXT ANALYTICS
What is Text analytics?
Text analytics is the normal procedure of converting unstructured text documents into usable and structured data. Our text analysis procedure functions by breaking apart the sentences and phrases into components and evaluating each part’s role and meaning through the usage of advanced software rules and machine learning algorithms.
Using NLP & Text analytics, one can gain a deeper understanding of customer opinions along with sentiments. You can also find out the phrases and entities like places, people, and organizations to understand common trends and topics.
How does it help?
Broad Entity Recognition
Identify significant concepts in the text, including the key phrases and the named entities like people, events, and organizations.
Document Summarization
Extract necessary sentences that collectively convey the essence of the document.
Powerful Sentiment Analysis
Examine what customers state about your brand and analyze the sentiments based on specific topics through opinion mining.
How can we help you?
- Analyze individual pieces of content through natural language processing and identifying characteristics like the tone of voice and style and even make recommendations in terms of SEO strategies.
- Advanced reports are provided on the basis of the natural language processing and text analytics and they help in identifying your customer opinions about your brand.
- Real time analytics of all the data extracted from text analysis is provided and they help in analysing important key features such as named entities like events, people and organization.
Key Principles
Identify important points
Categorize significant concepts
Automate the business flow
Add a conversational layer to the data.
