What the Data for This Category Looks Like
Game investment research data sources include public financial reports from game publishers, game license approval announcement documents, industry analysis documents from third-party research institutions, public operational data reports from game platforms, and public opinion summary documents from player communities. Update cycles cover quarterly/annual financial report updates, monthly license approval announcements, real-time public opinion synchronization, and weekly operational data iterations. Document structures include structured tables (fields such as revenue, user scale), announcement texts with illustrations, and semi-structured public opinion tag datasets. Fields involve revenue units, user order of magnitude, license numbers, game category tags, and other related items.
Constraints on Document Parsing and Chunking From These Data Characteristics
The multi-structure features of game investment research documents impose multiple constraints on the parsing and chunking process: Structured financial reports and operational tables have multiple headers and merged cells. Parsing must identify cross-row and cross-column field associations to avoid incorrect splitting. Fixed-format text in license approval documents requires accurate positioning of key fields to prevent irrelevant content from being included in chunks. Real-time public opinion data consists of a large volume of short texts. Single chunk length must be controlled to retain context while avoiding redundancy. Announcement documents with images need to extract embedded image text to avoid losing key information. Non-standard JSON format operational data export files require compatibility with nested field structures to avoid missed parsing.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_TABLE_MERGE_CELL | Enabled | A large number of structured tables with merged headers exist in game investment research documents. Enabling this option restores complete field associations |
PARSE_OCR_ENABLE | Enabled | Game license approval announcements and operational reports often contain embedded images. OCR extraction supplements text information within images |
CHUNK_SIZE | 800–1200 characters | Game research report texts contain long paragraph analyses. This range retains the complete logical chain for a single game while avoiding excessive single chunk length that impacts retrieval |
PARSE_JSON_STRICT_MODE | Disabled | JSON files exported from game operations often have non-standard nested structures. Disabling strict mode supports more format variations |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Parsing large financial report PDFs or batch operational data files takes significant time. This duration covers conventional parsing requirements |
MAX_CHUNKS_PER_DOC | Calibrated via actual testing | Field density varies widely across different game documents. Adjust based on actual retrieval performance |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Scenario: When uploading a docx file containing game operational screenshots, the returned result prompts
Invalid image file. Cause: The image format in the document is non-standard WebP or the resolution exceeds the parsing threshold, causing the parsing module to fail to recognize it. - Scenario: When importing a game financial report Excel table, only the first 3 columns of data are captured, and subsequent fields are empty. Cause: The
PARSE_TABLE_MERGE_CELLconfiguration is not enabled. Cross-row and cross-column fields from merged cells are not correctly identified, resulting in partial data not being extracted. - Scenario: When the model outputs a game revenue table in Markdown format, the content is truncated and cannot be viewed completely. Cause: The
CHUNK_SIZEconfiguration value is too small, causing the table to be split and truncated during chunking, failing to retain the complete table structure.
How to Verify the Configuration Is Correct
- Upload a single game financial report Excel file, check whether the parsed result fields cover all headers, and verify that the table merged cell parsing configuration is effective.
- Upload a license approval announcement document containing embedded images, check whether the parsed result includes the license number text from the images, and verify that the OCR parsing configuration is effective.
- Upload a batch of game operational data JSON files, check whether the parsed result field hierarchy is complete, and verify that the JSON parsing mode configuration adapts to the current document format.
- Upload a single large-scale research report PDF, check whether the parsing time is within the preset timeout configuration range, and confirm that the timeout parameter 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.