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USC Information Retrieval & Data Science's Projects

parser-indexer icon parser-indexer

Metadata Parser and Solr Indexer. For Python equivalent, checkout https://github.com/USCDataScience/parser-indexer-py

parser-indexer-py icon parser-indexer-py

Python tools for parsing documents and building the inverted index with enriched metadata. Java version with slightly different features - https://github.com/USCDataScience/parser-indexer

pdftabextract icon pdftabextract

A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.

planetaryir icon planetaryir

Information Retrieval for Planetary Science using DeepDive

polar.usc.edu icon polar.usc.edu

Polar USC activities related to NSF Polar CyberInfrastructure program at the University of Southern California

polardatacollection icon polardatacollection

Using Google Search API we collect URLs relevant to the Polar Domain for deep insights and intelligent crawling

polarpostprocessing icon polarpostprocessing

This code gets connected to Solr DB created for Sparkler Crawled Data to do further data extraction, classification, filtering and insights generation using various Machine Learning models. The ML models are capable of using keywords list from user, extract features from URL content, and classify (score) output and update Solr parameter accordingly. Apache Sparkler Link: https://github.com/USCDataScience/sparkler

sentimentanalysisparser icon sentimentanalysisparser

Combines Apache OpenNLP and Apache Tika and provides facilities for automatically deriving sentiment from text.

solrmerge icon solrmerge

An open source project to merge Solr cores in an extremely customizable way.

sparkler icon sparkler

Spark-Crawler: Apache Nutch-like crawler that runs on Apache Spark.

sweet-neo4j icon sweet-neo4j

A ruby parser using linkeddata and RDF to fetch the JPL Sweet ontology and load it into Neo4J for cool graph queries and examination.

tattdl icon tattdl

Tattoo detection and localization

textrest.jl icon textrest.jl

Language Detection REST Server using MIT Lincoln Lab’s Text.jl library

tika-dockers icon tika-dockers

A suite of Machine Learning / Deep Learning Dockerfiles to allow Apache Tika to extract objects and to produce textual captions for images and video

tika-ner-libraries icon tika-ner-libraries

This is a d3 visualization benchmarking named entities extracted by NLTK and Standford Core NLP

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