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Fluxograma

Sem título

ADITYA KUMAR SINGH 20MIA1088 Inglês

Conteúdo do fluxograma

  1. Covid 19 Vaccine Sentiment Analysis

  2. Dataset of Peoples' reaction on vaccines from Pfizer and BioNTech.

  3. Text Preprocessing and Package import for the required graphs

  4. Vander(Valence Aware Dictionary and sEntiment Reasoner) Sentiment Analysis

  5. Python Language was extensively used in the creation of the project.

  6. There were a number of packages imported for the purpose of processing the tweets to get meaningful data.

  7. 4.Nltk

    5.re

    5.Seaborn

  8. Some of the packages are as follows:

    1.Numpy

    2.Pandas

    3.String

  9. 6.Plotly

    7.Statsmodel and

    8.Random

  10. Lexicon and Rule-based sentiment analysis tool.

  11. Attuned for analysis of sentiments expressed in text from .

  12. There are a couple of ways in which we can install the vaderSentiment package.

  13. pip install vaderSentiment

    or

    pip install --upgrade vaderSentiment

  14. Remove all twitter handles

  15. We need to do the following before the start of processing the data.

Informações

Descrição
Fluxograma sobre Sem título, criado por ADITYA KUMAR SINGH 20MIA1088 em 11-04-2022.
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