In addition to Elasticsearch default text search, we want to add document search feature using uploaded "word, csv, txt, pdf" files. Means, ES will take part of the text contents from uploaded file as "search text" and return the matching results.
What you have to do:
Develop the feature using Elasticsearch 6.3 with NLP support
Setup trial environment and create sample index using provided sample data to test the functionality
Attach two files are kind of format will be used for search.
Example Search Terms:
Bank, Bankruptcy, Fraud, Restraining Orders etc
18 pekerja bebas membida secara purata $477 untuk pekerjaan ini
Hello I have more than 10 years experience in NLP, IR, and ML. I have worked on many open source search engines such as Lucene and SOLR. I can do this project in a perfect way,and within the required time Regards
Hello, I work in Hadoop/Bigdata technologies for several years. I worked in Spark, Kafka, Cassandra, Hive Habse and so ELK stacks. Also completed a few setup and data loading in Elastic & Kibana here!
I have used Natural language processing for processing the text from the csv, json files. This was used to process the text to analyse the number of words the text contained.