Mohd Sanad Zaki Rizvi mohdsanadzakirizvi

Technophile|Computer Science Afficionado| Recently into Data Science and ML

mohdsanadzakirizvi / .block

Last active August 24, 2024 05:44

Game of Thrones Force Directed Graph

mohdsanadzakirizvi / parts_of_speech.py

Last active June 29, 2019 12:50

StanfordNLP - Code

	#dictionary to hold pos tags and their explanations
	pos_dict = {
	'CC': 'coordinating conjunction',
	'CD': 'cardinal digit',
	'DT': 'determiner',
	'EX': 'existential there (like: \"there is\" ... think of it like \"there exists\")',
	'FW': 'foreign word',
	'IN': 'preposition/subordinating conjunction',
	'JJ': 'adjective \'big\'',
	'JJR': 'adjective, comparative \'bigger\'',

mohdsanadzakirizvi / lemma.py

Created February 6, 2019 05:26

	import pandas as pd

	def extract_lemma(doc):
	parsed_text = {'word':[], 'lemma':[]}
	for sent in doc.sentences:
	for wrd in sent.words:
	#extract text and lemma
	parsed_text['word'].append(wrd.text)
	parsed_text['lemma'].append(wrd.lemma)
	#return a dataframe

mohdsanadzakirizvi / corenlp_setup.py

Created February 6, 2019 05:27

	from stanfordnlp.server import CoreNLPClient
	# example text
	print('---')
	print('input text')
	print('')
	text = "Chris Manning is a nice person. Chris wrote a simple sentence. He also gives oranges to people."
	print(text)
	# set up the client
	print('---')
	print('starting up Java Stanford CoreNLP Server...')

mohdsanadzakirizvi / corenlp_depparse.py

Created February 6, 2019 05:29

	#get the dependency parse of the first sentence
	print('---')
	print('dependency parse of first sentence')
	dependency_parse = sentence.basicDependencies
	print(dependency_parse)
	# get the first token of the first sentence
	print('---')
	print('first token of first sentence')
	token = sentence.token[0]
	print(token)

mohdsanadzakirizvi / corenlp_ner.py

Created February 6, 2019 05:30

	# get the named entity tag
	print('---')
	print('named entity tag of token')
	print(token.ner)
	# get an entity mention from the first sentence
	print('---')
	print('first entity mention in sentence')
	print(sentence.mentions[0])
	# access the coref chain
	print('---')

mohdsanadzakirizvi / corenlp_depparse.py

Last active February 13, 2019 08:26

Intro to Stanford NLP

	#get the dependency parse of the first sentence
	print('---')
	print('dependency parse of first sentence')
	dependency_parse = sentence.basicDependencies
	print(dependency_parse)
	# get the first token of the first sentence
	print('---')
	print('first token of first sentence')
	token = sentence.token[0]
	print(token)

mohdsanadzakirizvi / actions.py

Last active November 19, 2019 08:48

	API_URL = "https://cricapi.com/api/"
	API_KEY = ""

	class ApiAction(Action):
	def name(self):
	return "action_match_news"

	def run(self, dispatcher, tracker, domain):
	res = requests.get(API_URL + "matches" + "?apikey=" + API_KEY)
	if res.status_code == 200:

mohdsanadzakirizvi / index.html

Created May 22, 2019 12:49

Ml5.js demo video classification using webcam input.

	<!DOCTYPE html>
	<html>
	<head>
	<meta charset="UTF-8">
	<meta http-equiv="X-UA-Compatible" content="IE=edge">
	<meta name="viewport" content="width=device-width, initial-scale=1">
	<!-- title of the page -->
	<title>image_classification</title>
	<!-- load processing library-->
	<script src="https://cdnjs.cloudflare.com/ajax/libs/p5.js/0.8.0/p5.min.js"></script>

mohdsanadzakirizvi / draw.js

Last active February 23, 2020 12:33

PoseNet demo with Ml5.js

	function draw() {
	image(video, 0, 0, width, height);

	// We can call both functions to draw all keypoints and the skeletons
	drawKeypoints();
	drawSkeleton();
	}