Named entity recognition

Named entity recognition in a sub process in the natural language processing pipeline. We identify the names and numbers from the input document. The names can be names of a person or company, location numbers can be money or percentages, to name a few. In order to perform named entity recognition, we will use Apache OpenNLP TokenNameFinderModel API. In order to invoke the code from the R environment, we will use the OpenNLP R package:

1. Load the required libraries:

   library(rJava)
   library(NLP)
   library(openNLP)

2. Create a sample text; we will extract the entities from this text:

   txt <- " IBM is an MNC with headquarters in New York. Oracle is a cloud company in California. James works in IBM. Oracle hired John for cloud expertise. They give 100% to their profession"

3. We will convert it to string for processing:

   txt_str <- as.String(txt)

4. We will process the text through the MaxEnt sentence token annotator and the MaxEnt word token annotator, both available in r packages and...