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Identification of trends in the stock prices of a company by performing fundamental analysis of the company. News articles were provided as training data-sets to the model which classified the articles as positive or neutral. Sentiment score was computed by calculating the difference between positive and negative words present in the news articl…
A Web Scraping project to analyze product reviews in Amazon.com. A sentiment analysis is done and the reviews are sorted and highlighted in green or red based on the sentiment score.
This project uses Lexicon-based approach for sentimental analysis of 1000 recent tweets of 4 countries. A sentiment score for each tweet is computed to ascertain the overall nature of the tweet.
Replication materials. Máté Á, Sebők M, Barczikay T (2021) The effect of central bank communication on sovereign bond yields: The case of Hungary. PLoS ONE 16(2): e0245515. https://doi.org/10.1371/journal.pone.0245515
Twitter Feeds were analysed during the Lok Sabha Elections 2019 to guage the overall popularities of each party and predict the winner based solely on the tweets made by the population. This was made as a part of our Data Science course (UE18CS203) at PES University.
Compute the sentiment of each tweet based on the sentiment scores of the terms in the tweet. The sentiment of a tweet is equivalent to the sum of the sentiment scores for each term in the tweet.
résumé automatique de texte oriente vers la prévention, l’éradication et détection des maladies ravageuses déclenchées sur les réseaux sociaux (twitter) cas de l’ebola , meningite et malaria