Document Classification.
Document Classification is an AI-powered text analysis procedure that uses a wide variety of supervised and unsupervised machine learning algorithms to process sets of documents, automatically detect topics from texts, and map each document to the most relevant topic. From sales and marketing to customer support and product teams, document classification can help eliminate manual and repetitive tasks, as well as speed up processes in a simple and cost-effective way.
How to Run the Demo.
- Step 1 : Copy any one of the example texts.
- Step 2 :Paste the copied text into the textbox area.
- Step 3 : Click on “Analyze Text”, to view the sentiment of the text, whether Positive, Negative or Neutral.
Sentiment Analyzer .
Sentiment Analysis also described as the contextual mining of text which identifies and extracts information from various platforms and help business understand whether the underlying sentiment behind the product and servicesthey offer is neutral, positive or negative. It's of great importance to every organization andis capable of opening up the gold mines in the customer’s opinion and help business automate processes while increasing sales.
Benifit of Document Classification .
Brand Monitoring
Sentiment Analysis can be used to classify customer feedback into positive, negative or neutral to learn how your customers are talking about you brand in real-time.
Social Media Monitoring
By digging into customer’s social media opinion about your brand, sentiment analysis can offer you clear data visualizations so you would be able to measure your social media presence and drive overall conclusions about the voice of the customer.
Improving Customer Support
Sentiment Analysis is beneficial for support conversations, where the business is dependent on a high level of customer satisfaction. It helps identify distressed or unhappy customers and notify supervisors to step in.
Tracking Employees’ Feedback
Sentiment Analysis helps organizations to analyse employee’s survey and segment them. Employee voices can be heard directly, and their satisfaction level can be tracked easily.
Providing Better Product Analytics
Sentiment Analysis helps organizations to know what products are selling out fast, those customers like and those they don’t. With this, every organization can create a marketing campaign that meets the needs of people in various segments.
Market And Competitive Research
Sentiment Analysis helps organizations to keep an eye on the target market after product launch and also provides crucial information that can save your firm lots of money. It also helps to discover new areas to improve your product and service.
Crisis Management
Sentiment Analysis plays a huge role in helping organizations manage the crisis. Constant monitoring of social media conversation helps to mitigate against damage caused by bad product quality, unacceptable customer service or other environmental harms in an emerging market.