jainsanmati / nlp

Write a python program. (From a text file), To identify Named Entities using Stanford NER (Named-entity recognition), To identify ROS tags using Stanford POS Tagger, To identify dependency relation using Stanford Parser

nlp

Write a python program. (From a text file) 1. To identify Named Entities using Stanford NER (Named-entity recognition) 2. To identify ROS tags using Stanford POS Tagger 3. To identify dependency relation using Stanford Parser

Most of the help were taken from the site

http://textminingonline.com/dive-into-nltk-part-v-using-stanford-text-analysis-tools-in-python

SYPDER-3 and Python 3.1 is used for IDE, all python code will work on that

Steps followed and few modification

# 1. Initialized the JAVAHOME veriable 
    by updating the JRE in lappy
    some times you may need to initialize java variable manualy 
    refer this: https://confluence.atlassian.com/doc/setting-the-java_home-variable-in-windows-8895.html
# 2. Checked that nltk package is there in system 
    if not install we can install it in windows here using command in cmd  "pip install nltk"
    then I have verified the nltk-->tag-->stanford is there 
# 3. imported from nltk.tag.stanford import StanfordNERTagger
    # here is a change I have imported StanfordNERTagger instead of NERTagger #Important
     then passed the environment perameters i.e. jar files path in code
     in this code path is of my lappy you may have to change that according to your package location
     Package download links are avalivale in above given link (help)
     then run the code with test statment
# 4. from nltk.tag.stanford import StanfordPOSTagger
    # here is a change I have imported StanfordPOSTagger instead of POSTagger #Important
     then passed the environment perameters i.e. jar files path in code
     in this code path is of my lappy you may have to change that according to your package location
     Package download links are avalivale in above given link (help)
     then run the code with test statment
# 5. from nltk.parse.stanford import StanfordParse
     # here I have not changed anything
     then passed the environment perameters i.e. jar files path in code
     in this code path is of my lappy you may have to change that according to your package location
     Package download links are avalivale in above given link (help)
     then run the code with test statment  

new files assignment_1oct_2016.py and demo.txt

NER is working with the given dataset (Data_NLP_SPJain.txt)
and for POS and Parse we are reading data from demo.txt (created by us)