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Hitech House
Near Gurukul Tower
Gurukul, Ahmedabad - 380052
Gujarat, India

Phone: +91-794-体育OB

Fax: +91-794-000-3202

Email: sales@hitechdigital.com

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Thousands of accurately annotated customer emails train ML algorithms to analyze customer sentiments and intent in real-time.

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Text Analytics

Service Overview .

Online customer interactions over emails, blogs, social media, consumer chats, forums and other channels hold invaluable information about your products, services or customers. But their value is lost unless the relevant information is analysed to generate insights.

Hitech delivers text analytics services that help you unlock the insights held in your textual data. By detecting patterns and keywords, our data specialists support sentiment and intent analysis, classification and summarization. We specialize in large-scale quantitative and qualitative assessment of text and in addressing semantic and syntactic ambiguities.

Leveraging deep learning and neural text networks, we identify entities and relations, classify them, extract keywords, analyse sentiment and detect emotion. Custom algorithms and toolchains are used to extract meaning by language identification, tokenization, breaking sentences, speech tagging, chunking and parsing of syntax.

Sentiment & Intent Analysis .

Use automated and manual techniques to capture and analyze sentiment and intent behind text for applications including product analytics, brand monitoring, market research, customer support, workforce analytics etc.

  • Capture customer voice by analyzing textual customer conversations across channels and categorizing them as positive, neutral, or negative to gain insights into products and services.
  • Use sentiment analysis classifier to prioritize urgent issues and queries and take action accordingly.
  • Tag sentiments from social media posts, online reviews, customer feedback, and surveys to accurately represent customer opinion on your products and services.
  • Assess workforce ‘mood’ by analyzing sentiment in emails, surveys, Glassdoor reviews etc. Detect signals that could threaten attrition or impact productivity and employee morale.
  • Find out how the public perceives your product after its launch or after being in the market; modify/redesign products accordingly.
  • Use sentiment analysis to enhance market/competitor understanding. Study reviews and re-strategize based on how competitors stand. Tailor your messaging based on positive competitor communication.
  • Track brand image and reputation by analyzing social media reviews.
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We take our customers’ word above all others. We’re grateful to Hitech for a sentiment analysis solution that makes it easy for us to grasp what our customers say. It couldn’t have been better.

– Marketing Director, Global Digital Technology Services Company

Text Classification .

We classify documents into predetermined categories and measure similarities between documents using NLP, Machine Learning and other AI guided techniques to enable you to draw data insights from huge blocks of information. Our text classification services extend to applications ranging from news classification to customer support and product categorization.

  • Categorize news articles into pre-defined topics using intelligent algorithms
  • Segregate fake news from real news by determining the polarity and strength of sentiments expressed in a text.
  • Classify customer support tickets by urgency and chat conversations by language
  • Classify panic conversation on social media to help you respond to emergency situations
  • Accurately categorize products by type and specifications to feed better information to search engines and increase conversions.
  • Classify and tag products to improve browsing experience and enable guided selling on online stores
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Hitech’s annotation and labeling solutions worked wonders for us. They not only provided high-quality text annotations, but also saved us time and resources.

– Operations Head, Construction Technology Company, Germany

Text Summarization .

Create sequence to sequence models using NLP, by taking articles as inputs and returning the summary as an output. This enables quick reading and insight gathering from newsletters, reports, financial documents, legal documents etc.

Our service offerings include:

  • Auto-summarize newsletter content in customized formats, as per client’s context for reduced reading time or other purposes.
  • Abridge extensive social media content into smaller meaningful pieces for quick understanding and actionable insights.
  • Use summarization algorithms to select only relevant parts instead of being overwhelmed with information.
  • Break down lengthy content like whitepapers, blogs, etc. to make them sharable on social media
  • Summarize financial documents, news, and earning reports for quick market signals and to extract data from financial visualizations
  • Multi-document summarization of legal contracts and agreements to quickly analyze numerous search results, and skim the most important points.
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Text Summarization

Text Mining & Information Extraction .

Extract information from unstructured or semi-structured documents and other online sources using Natural Language Processing, machine learning, cloud applications, custom data mining tools and other hybrid extraction approaches. Accelerate the pace of extraction through refined batch processing capabilities. Our intelligent information extraction capabilities extend to:

  • Financial information such as tables, company growth metrics, and other financial details from various kinds of documents (PDFs, Docs, Images, etc.) to create credit/debit reports, loan agreements, annual reports, etc.
  • Metadata extraction from legal documents to enable analysis and generation of high-quality insights to help manage huge volumes of complex cases
  • Information related to competitors, consumers, prospects, market trends, business intelligence etc. from primary and secondary web sources
  • Social networking sites, blogs, and forums to recapitulate user/customer views and reviews
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Today, we feel totally organized and top of each data record that comes through. And it is because of Hitech that nothing is slipping through the cracks.

– Head- Operations, Healthcare Company, Georgia

Satisfied Customers .

80% recurring clients and partnerships with industry leaders reflect our commitment to customers – their growth, their satisfaction.

  • J P Morgan
  • Ernst & Young
  • LexisNexis
  • Schlumberger
  • DHL
  • IDB
  • Xerox
  • Aventis
  • Thomson Reuters
  • Dominos

3,100+

Satisfied Clients

50+

Countries Served

5,000+

Projects Completed

1,000+

Professionals

Service Leadership .

Bachal Bhambhani

Bachal Bhambhani

Bachal represents Hitech in North America, and helps client and our production teams collaborate effectively on projects and partnership initiatives.

Bret Pranham

Brett Parnham

Brett, Vice President for Europe, is based in London. He assists Hitech’s executive leadership team in reinforcing partnerships and in building long-term relationships with clients across the continent.

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