Information Extraction
(DataSmart) .
Information Extraction (IE) provides automated retrieval of information related to a selected topic from a body or bodies of text. IE tools make it possible to pull information from text documents, databases, websites or multiple sources. IE also extracts information from unstructured, semi-structured or structured, machine-readable documents and other electronically represented sources.
How to Run the Demo.
- Step 1 : Download the sample test data - data_smart_test_PDF_Home_Standard_2015.pdf
- Step 2 : Browse the downloaded file in your system.
- Step 3 : Click on “Convert”, and view the downloaded csv file that shows the extracted information in column and row wise structured format.
Why NLP Annotation is Important?.
With right tagging, labelling and keynotes it becomes clearer and more comprehensible to machines. Our NLP annotation service enables to upload unstructured PDF documents that can be converted and downloaded into structured comma-separated values (CSV) file format. All the information, including main and subtitles, numbering and contents are extracted and presented in a column and row wise structured form using pattern recognition. This CSV file can then be directly imported into the database as well.
Applications of NLP Annotation .
Business Intelligence
For enabling analysts to gather structured information from multiple sources.Analyse data and present actionable information which helps executives, managers and other corporate end users make informedbusinessdecisions.
Financial Investigation
For analysis and discovery of hidden relationshipsby extracting up-to-date and only relevant information fromfinancialdocuments.For example, to analysewhere money comes from, how it moves, and how it is used.
Scientific Research
For automated references discovery or relevant papers suggestionto discover laws and postulate theories that can explain and buildscientificknowledge.
Media Monitoring
For mentions of companies, brands, people.Identify and analysecontent that contains specific keywords or topics.
Healthcare Records Management
For structuring andsummarizing patients records. Managemedicalrecordsin clinics,hospitals, and practices of every size including managementof accountingrecords,contracts, and other administrativerecordsthat are related to thehealthcareorganization.