R: Scientific Content and Citation Analysis from PDF Documents

# Scientific Content and Citation Analysis from PDF Documents

## Documentation for package ‘contentanalysis’ version 1.1.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

analyze_scientific_content | Enhanced scientific content analysis with citation extraction
calculate_readability_indices | Calculate readability indices for text
calculate_word_distribution | Calculate word distribution across text segments or sections
classify_rhetorical_moves | Classify Rhetorical Moves in Scientific Text
create_citation_network | Create Citation Co-occurrence Network
describe_citation_clusters | Describe Citation Clusters by Section Using Reference Title N-grams
extract_doi_from_pdf | Extract DOI from PDF Metadata (Legacy Function)
extract_pdf_metadata | Extract DOI and Metadata from PDF
gemini_content_ai | Process Content with Google Gemini AI
get_crossref_references | Retrieve rich metadata from the CrossRef API for a given DOI
get_example_paper | Get path to example paper
match_citations_to_references | Match citations to references
merge_text_chunks_named | Merge Text Chunks into Named Sections
normalize_references_section | Normalize references section formatting
parse_references_section | Parse references section from text
pdf2txt_auto | Import PDF with Automatic Section Detection
pdf2txt_multicolumn_safe | Extract text from multi-column PDF with structure preservation
plot_citation_clusters | Plot Citation Cluster Descriptions
plot_word_distribution | Create interactive word distribution plot
print.rhetorical_move_analysis | Print method for rhetorical move analysis
process_large_pdf | Process Large PDF Documents with Google Gemini AI
readability_multiple | Calculate readability indices for multiple texts
remove_all_tables | Remove All Types of Tables (Markdown and Plain Text)
remove_code_blocks | Remove Markdown Code Block Markers
remove_figure_caps | Remove Figure Captions
split_into_sections | Split document text into sections