words.py

"""contains dictionary of keywords"""
words = {'pact': 2, 'co-develop': 1, 'raise': 1, 'up': 2, 'not': -1, 'restart': 1, 'nod': 1, 'gets': 1, 'get': 1,
         'surges': 1, 'ties': 1, 'launch': 1, 'rises': 1, 'meets': 1, 'induct': 1, 'trims': -1,
         'sell': 1, 'ells': 1, 'boost': 1, 'recall': -1, 'order': 1, 'approves': 1, 'fall': -1, 'trails': -1, 'bags': 1,
         'loss': -2, 'develop': 1, 'exit': -1, 'pre-closes': 1, 'starts': 1, 'hit': -1,
         'wins': 1, 'misses': -1, 'co-market': 1, 'supply': 1, 'climbs': 1, 'profit': 2, 'widens': 1, 'narrows': -1,
         'rise': 1, 'plunges': -1, 'enter': 1, 'resume': 1, 'beats': 1, 'jump': 1,
         'costs': -2, 'cost': -2, 'declines': -1, 'zooms': 1, 'jumps': 1, 'warning': -1, 'soars': 1, 'down': -1,
         'fails': -1, 'recalls': -1, 'doubles': 1, 'start': 1, 'launches': 1, 'sells': 1, 'exempts': 1, 'partner': 1,
         'nears': 1
    , 'deal': 2, 'buy': 1, 'raises': 1, 'additional': 1, 'time': 2, 'jv': 2, 'forms': 1, 'consider': 1, 'declares': 1,
         'dividend': 2, 'invokes': 1, 'pacts': 1, 'conversion': 1, 'executes': 1, 'resumes': 1, 'begins': 1,
         'winning': 1,
         'invests': -1, 'forays': 1, 'completes': 1, 'enters': 1, 'slumps': -1, 'dips': -1, 'bad': -2, 'drops': -1,
         'lifts': 1, 'control': -1, 'sales': 2, 'merges': 1,'decline':-1,'dip':-1,'merger':1, 'sacks':1}

'''listed=('tata housing','jubilant life','mahindra holidays','thermax','trident','idfc','ceat','jsw steel','spicejet','nestle india','hitachi home','vedanta',
        'maruti suzuki','lupin','dish tv','novartis','axis bank','tvs motor','nestle','hdfc','ril','bajaj auto','sks microfinance','eros international media','eros','jk tyre'
        ,'emami','alstom t&d india','muthoot finance',"dr reddy's laboratories",'jubilant life sciences','glenmark','torrent pharma','ashok leyland','neyveli lignite','tbz','rcom','jain irrigation'
        ,'il&fs engineering',"dr reddy's",'sbi','punjab national bank','unitech','sun pharma','tata steel','ntpc','cipla','cera','ajanta pharma','reliance infra','dlf','shasun pharma','videocon',
        'bharat forge','marico','container corporation','pidilite industries','oracle financial services software','motherson sumi','godrej consumer products','maruti','bhel','eicher motors','royal enfield':'505200')
'''
listed = {'ashok leyland': '500477', 'royal enfield': '505200', 'eicher motors': '505200', 'sail': '500113',
          'hero motocorp': '500182', 'berger paints': '509480', 'airtel': '532454',
          'srei infrastructure finance': '523756', 'ceat': '500878', 'britangfb nia industries': '500825',
          'jaguar land rover': '500570', 'interglobe aviation': '539448', 'rec': '532955',
          'sun pharma': '524715', 'aurobindo pharma': '524804', 'gail india': '532155', 'lupin': '500257',
          'tata global beverages': '500800', 'engineers india': '532178', 'petronet lng': '532522',
          'reliance infra': '500390', 'reliance infrastructure': '500390','reliance industries':'500325',
          'l&t;s': "500510", 'tata power':'500400','wipro':'507685','tata motors':'500570',
          'reliance communications':'532712','jubilant life sciences':'530019','rcom':'532712',
          'tata metaliks':'513434', 'm&m;':'500520','welspun enterprises':'532553','yes bank':'532648',
          'maruti':'532500','l&t;':'500510','muthoot finance':'533398','hcl technologies':'532281',
          'hcc':'500185','indusind bank':'532187','tech mahindra':'532755','cairn india':'532792','cipla':'500087','canara bank':'532483',
          'sbi':'500112','infosys':'500209','hdfc':'500010','jsw steel':'500228','ongc':'500312','glenmark':'532296',
          'godrej properties':'533150','itc':'500875','srei infra finance':'523756','britannia':'500825','ril':'500325','vedanta':'500295',
          'reliance industrial infrastructure':'523445'}