title: What nltk corpus should use to identify pos tag for technlology related text
body: <p>Hi below is my code to remove stopwords and get the named entities for text which contains technology related terms like java, lan, port, socket etc</p>
  
  <pre><code>import nltk
  from nltk.corpus import stopwords
  import codecs
  import os
  import base64
  
  def stop_final():
      result=[]
      text="some technology related text"
      text = nltk.word_tokenize(text)
      for word in text:
          if word not in stopwords.words('english'):
              result.append(word)
  
       print nltk.ne_chunk(nltk.pos_tag(result))
  
  stop_final()
  </code></pre>
  
  <p>From the above code i am getting Person entities for lan, socket etc, so i am not getting accurate result, so please suggest me how can i get correct named entities for my text</p>
  
  <p>Thanks</p>