Texo 0.0.2

Sentiment Analysis Multiple language and for all products

Texo

Under construction! Not ready for use yet! Currently experimenting and planning!

Developed by Sourabh Singh from Neuroins(c) 2023

Examples of How To Use (Buggy Alpha Version)

Predicating Sentimental Analysis in English

from Texo.Sentimental.Analysis import Sentitweeten

Analysis = Sentitweeten()
Out = Analysis.Tweet_analy('Analysis this Tweet')
print(out)

Predicating Sentimental Analysis in Hindi

from Texo.Sentimental.Analysis import Sentitweeten

Analysis = Sentitweethn()
Out = Analysis.Tweet_anal('Analysis this Tweet')
print(out)

Find all stop_words from Text

from Texo.Word.texo import tex
x = tex()
er = x.stop_words('This is a sample text with some stop words in it.')
print(er)

Find Summary from Text and number of Points of user Choice

from Texo.Word.texo import tex
x = tex()
text = "Lorem ipsum dolor sit amet, consectetur adipiscing elit. Nulla at ligula diam. " \
       "Sed vel nibh ut purus sagittis tincidunt. Sed non lectus posuere, ullamcorper arcu nec, " \
       "elementum ipsum. Phasellus ut aliquam ligula. Duis sed tellus eget massa pulvinar " \
       "eleifend eu et augue. Nam pretium, tortor ac gravida malesuada, quam mauris tempor est, " \
       "et eleifend tortor mauris in dui. Vivamus ut pulvinar mauris, eget fermentum metus. " \
       "Cras nec varius ipsum. Sed sed neque vel ante vulputate gravida id a nisl. " \
       "Praesent facilisis imperdiet elit at rhoncus. Morbi ac scelerisque risus."

summary = x.summary(text, num_bullet_points=10)
print(summary)