• Build a search engine for Environmental News NLP archieve.

• Built a corpus for archieve with atleast 418 documents.

• https://www.kaggle.com/amritvirsinghx/environmental-news-nlp-dataset

• clone the git repo https://github.com/ShashankMG123/InformationRetrieval.git
• cd InformationRetrieval
• python3 setup.py

• nltk
• BTrees

Set up these Libraries for your system.

├── 0226_0286_0298_1557_AIR_Report.pdf
├── bigramIndex
├── documentInfo
├── ElasticSearchUtil
│   ├── createIndex.py
│   └── jsonInputs
├── indexes
├── README.md
├── setup.py
└── src
    ├── input
        ├── SimpleSearch.json
        ├── PhraseSearch.json
        └── WildCard.json
    ├── compareES.py
    ├── genetateBigramIndex.py
    ├── indexConstruction.py
    ├── phraseQuery.py
    ├── queryDriver.py
    ├── simpleSearch.py
    ├── utils.py
    └── wildcardQuery.py

mode :

• 0 (Single File search)
• 1 (All File search)

fileName : Name of file if mode 0 search : list of terms for simple search must : phrase for positional search wildcard : for wildcard query top : number of docs required

• Change the json file in the input directory
• python3 queryDriver.py <type of query> <compare with ES flag> If compare flag is on make sure ES has started with all indexes running on port 9200. sample command python3 queryDriver.py SimpleSearch 0