manashmandal

#-------------------------------------------------
#
# Project created by QtCreator 2016-09-13T10:02:21
#
#-------------------------------------------------

QT       += core gui

greaterThan(QT_MAJOR_VERSION, 4): QT += widgets

manashmandal

#-------------------------------------------------
#
# Project created by QtCreator 2016-09-13T10:02:21
#
#-------------------------------------------------

QT       += core gui

greaterThan(QT_MAJOR_VERSION, 4): QT += widgets

manashmandal

from PyQt5.QtWidgets import (QTreeWidget, QTreeWidgetItem, QPushButton, QLabel, QDialog, QVBoxLayout, QApplication, QLineEdit)
from PyQt5.QtCore import pyqtSlot
import sys

class TreeWidgetWithWidgetItems(QDialog):
    def __init__(self):
        super(TreeWidgetWithWidgetItems, self).__init__()
        self.init_ui()

    def init_ui(self):

manashmandal

# Day 0: Mean, Median, and Mode

# Selecting standard input
con <- file('stdin', open='r')

# We don't need the first input 
data_line <- readLines(con)[[2]]

# splitting the data into individual string
split_data <- strsplit(data_line, " ")

manashmandal

1. TechShopBd www.techshopbd.com
2. ProjectShopBd http://projectshopbd.com/
3. RcShopBd http://www.rcshopbd.com/
4. RcSolutionBd http://www.rcsolutionbd.com/
5. BdSpeedTech www.bdspeedytech.com
6. MMRcBd http://mmrcbd.com
7. EStoreBd http://estoresbd.com/
8. ProjectShop http://projectshopbd.com/
9. Projukti Ponno http://projuktiponno.com/
10. EStoreBD www.estoresbd.com

manashmandal

void setup(){
  Serial.begin(9600);
  Serial1.begin(9600);
  Serial.println("Init");
  pinMode(13, OUTPUT);
}

char b;

void loop(){

manashmandal

from nltk.tag import StanfordNERTagger
import os 

print os.environ.get('STANFORD_MODELS')

# Output:
#/home/jackspicer/StanfordParser/stanford-ner-2015-12-09/classifiers/english.all.3class.distsim.crf.ser.gz:/home/jackspicer/stanford-postagger-2015-12-09/models/english.conll.4class.distsim.crf.ser.gz:/home/jackspicer/StanfordParser/stanford-ner-2015-12-09/english.muc.7class.distsim.crf.ser.gz

# I want to select the first classifier model

manashmandal

import nltk
print nltk.__version__
from nltk.tag import StanfordNERTagger

import os

st = StanfordNERTagger(os.environ.get('STANFORD_MODELS'))

print st._stanford_jar

manashmandal

import pandas as pd
import os
import numpy as np
import random
from sklearn.utils import shuffle
import matplotlib.pyplot as plt

positive_text_path = './txt_sentoken/pos/'
negative_text_path = './txt_sentoken/neg/'

manashmandal

from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from bs4 import BeautifulSoup
from requests import get
from lxml import html

class FacebookSpider():
    def __init__(self, userid, password):
        self.userid = userid
        self.password = password