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Company specific results of the sentiment analysis using NLTK --VADER Lexicon. The time period stands between 2020-10-27 and 2020-11-14. (a) Results by Companies and (b) Aggregate Sentiment Result.

Company specific results of the sentiment analysis using NLTK --VADER Lexicon. The time period stands between 2020-10-27 and 2020-11-14. (a) Results by Companies and (b) Aggregate Sentiment Result.

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The prediction and speculation about the values of the stock market especially the values of the worldwide companies are a really interesting and attractive topic. In this article, we cover the topic of the stock value changes and predictions of the stock values using fresh scraped economic news about the companies. We are focussing on the headline...

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... shown in Figure 5 below, the neutral value (a) dominates in all cases among the sentiment results separated by companies. In the figure next to it (b), the aggregate sentiment result shows the economic news headlines significant neutral values. ...
Context 2
... to the results of TextBlob, the neutral values have been significantly reduced and we expect that has significant effect in further analysis to obtain more accurate and realistic results with fewer neutral values. In Figure 5(b), 51.50 percent of the total result is neutral in addition to 31.50 percent positive and 17 percent negative. Of the positive or negative categories, the positive strongly dominates, but this huge neutral value still makes the result little bit uncertain. ...

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... It was also observed that lexicon-based techniques have been utilized in a number of sectors to extract a score from textual data and identify the most positive and negative sentences, including users' tweets during Covid-19 about online learning (Mujahid et al., 2021), tweets (Bhaumik and Yadav, 2021), news (Nemes & Kiss, 2021), stock market (Oliveira et al., 2016), but not in shopping apps reviews. As a result, in the current study, we used two lexicon-based algorithms to find sentiment ratings and top positive and unfavorable reviews. ...
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