Sentiment Analysis of Tweets at Sentence Level Using Hadoop

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Cite
Siril Paul, Yazala Ritika. “Sentiment Analysis of Tweets at Sentence Level Using Hadoop”. HELIX, vol. 8, no. 5, 2018, pp. 3797-01, https://doi.org/10.29042/2018-3797-3801.
Siril Paul, Y. R. (2018). Sentiment Analysis of Tweets at Sentence Level Using Hadoop. HELIX, 8(5), 3797-3801. https://doi.org/10.29042/2018-3797-3801
Siril Paul YR. Sentiment Analysis of Tweets at Sentence Level Using Hadoop. HELIX. 2018;8(5):3797-801.
Citations
Title Journal Journal Categories Citations Publication Date
Improving Sentiment Analysis of Arabic Tweets by One-way ANOVA Journal of King Saud University - Computer and Information Sciences
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Science (General): Cybernetics: Information theory
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
 15 2022
Citations Analysis
Category Category Repetition
Science: Mathematics: Instruments and machines: Electronic computers. Computer science1
Science: Science (General): Cybernetics: Information theory1
Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software1
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware1
The category Science: Mathematics: Instruments and machines: Electronic computers. Computer science 1 is the most commonly referenced area in studies that cite this article.