Document Parsing and Chunking for Tourist Attraction Investment Research Knowledge Base Construction

Tourist attraction investment research data mainly comes from internal operation reports, business investment promotion brochures, passenger flow

What the data for this category looks like

Tourist attraction investment research data mainly comes from internal operation reports, business investment promotion brochures, passenger flow monitoring ledgers, annual development plan documents, and public disclosure documents from cultural and tourism authorities. Data update cycles cover real-time passenger flow snapshots, weekly revenue statistics, monthly business adjustment notices, and annual strategic reports. Document formats include text-image operation manuals, tabular passenger flow and revenue statistics files, and plain-text policy interpretation documents. Fields include passenger trips, daily revenue, per-area efficiency, parking space availability, with corresponding units: trips, yuan, square meters per person, units.

Scenic area operation reports often contain structured data across multiple business sheets. Parsing must accurately identify the business attribution of different worksheets to avoid data mixing. In combined text-image operation manuals, images are often tied to data such as passenger flow and per-area efficiency. Parsing must retain the association between original images and corresponding text to avoid losing visual references by only extracting OCR text. Real-time passenger flow documents are updated frequently. The parsing link must support incremental synchronization to avoid repeatedly processing full historical data. Field units vary significantly across different documents. Chunking must retain unit information to ensure consistency of investment research data. Some documents contain continuous data across pages. Chunking must retain contextual associations to avoid splitting that breaks data logic.

How to configure the settings

Configuration ItemRecommended SettingRationale
PARSE_EXCEL_SHEET_ENABLEEnabledScenic area reports often contain multiple business sheets, requiring separate identification of content from each worksheet
OCR_IMAGE_MODERetain original imagesScenic area documents often include real-time passenger flow photos and business layout diagrams. Retaining original images supports visual references for investment research scenarios
CHUNK_SIZE800–1200 charactersScenic area documents include long-text operation plans and short-text real-time data. This range balances contextual completeness and recall accuracy
PARSE_PDF_ENHANCEEnabledScenic area planning documents are often scanned or encrypted PDFs. Enhanced parsing improves text extraction accuracy
PARSE_INCREMENTAL_SYNCEnabledReal-time passenger flow documents for scenic areas are updated frequently. Incremental synchronization reduces parsing resource consumption
MAX_PARSE_TIMEOUT300 secondsLarge scenic area annual planning documents have many pages, requiring sufficient parsing time

The parameter values provided on this page are common recommended starting points for configuration setup. Actual values are affected by material format, data volume, and business rules. Specific issues require targeted analysis. It is recommended to test on your own samples before finalizing settings.

Three common mistakes

  • Issue: After parsing scenic area revenue Excel files, only content from the first sheet is extracted, with data from other sheets lost. Cause: The PARSE_EXCEL_SHEET_ENABLE configuration was not enabled, and the default setting only parses the first worksheet.
  • Issue: After parsing scenic area text-image manuals, only OCR-extracted text is retained, with original images not saved. Cause: The OCR_IMAGE_MODE configuration was set to only extract OCR text, and the original image retention option was not enabled.
  • Issue: When importing scenic area planning PPT or DOC documents, enabling PDF enhancement does not change parsing results. Cause: PDF enhancement only applies to PDF format documents, and non-PDF files cannot trigger this configuration.

How to confirm correct configuration

  • A single scenic area Excel report may be uploaded. Check if the parsing result includes content from all sheets to confirm the PARSE_EXCEL_SHEET_ENABLE configuration is active.
  • A scenic area operation manual containing real photos may be uploaded. Check if the parsing result retains original image file links to confirm the OCR_IMAGE_MODE configuration is set correctly.
  • A non-PDF format scenic area document may be uploaded. Verify that the parsing result includes complete text to confirm the applicable scope of the PDF enhancement configuration.
  • A large scenic area annual planning document may be uploaded. Wait for parsing to complete and check for timeout errors to confirm the MAX_PARSE_TIMEOUT configuration is set appropriately.

Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.