%0 Journal Article %1 noauthororeditor %A A, Nirsen Amal A | Vijayakumar %D 2021 %J International Journal of Trend in Scientific Research and Development %K Analysis LSTM Mining Networks Neural Opinion Recurrent Sentiment %N 4 %P 891-896 %T Movie Sentiment Analysis using Deep Learning RNN %U https://www.ijtsrd.comcomputer-science/other/42414/movie-sentiment-analysis-using-deep-learning--rnn/nirsen-amal-a %V 5 %X Sentimental analysis or opinion mining is the process of obtaining sentiments about a given textual data using various methods of deep learning algorithms. The analysis is used to determine the polarity of the data as either positive or negative. This classifications can help automate data representation in various sectors which has a public feedback structure. In this paper, we are going to perform sentiment analysis on the infamous IMDB database which consists of 50000 movie reviews, in which we perform training on 25000 instances and test it on 25000 to determine the performance of the model. The model uses a variant of RNN algorithm which is LSTM Long Short Term Memory which will help us a make a model which will decide the polarity between 0 and 1. This approach has an accuracy of 88.04 Nirsen Amal A | Vijayakumar A "Movie Sentiment Analysis using Deep Learning - RNN" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-4 , June 2021, URL: https://www.ijtsrd.compapers/ijtsrd42414.pdf Paper URL: https://www.ijtsrd.comcomputer-science/other/42414/movie-sentiment-analysis-using-deep-learning--rnn/nirsen-amal-a

@article{noauthororeditor, abstract = {Sentimental analysis or opinion mining is the process of obtaining sentiments about a given textual data using various methods of deep learning algorithms. The analysis is used to determine the polarity of the data as either positive or negative. This classifications can help automate data representation in various sectors which has a public feedback structure. In this paper, we are going to perform sentiment analysis on the infamous IMDB database which consists of 50000 movie reviews, in which we perform training on 25000 instances and test it on 25000 to determine the performance of the model. The model uses a variant of RNN algorithm which is LSTM Long Short Term Memory which will help us a make a model which will decide the polarity between 0 and 1. This approach has an accuracy of 88.04 Nirsen Amal A | Vijayakumar A "Movie Sentiment Analysis using Deep Learning - RNN" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-4 , June 2021, URL: https://www.ijtsrd.compapers/ijtsrd42414.pdf Paper URL: https://www.ijtsrd.comcomputer-science/other/42414/movie-sentiment-analysis-using-deep-learning--rnn/nirsen-amal-a }, added-at = {2021-07-15T10:38:26.000+0200}, author = {A, Nirsen Amal A | Vijayakumar}, biburl = {https://www.bibsonomy.org/bibtex/29527e14fdbbb8e0c656943fceb16643a/ijtsrd}, interhash = {a235f15c4efcda32d720c877073abef1}, intrahash = {9527e14fdbbb8e0c656943fceb16643a}, issn = {2456-6470}, journal = {International Journal of Trend in Scientific Research and Development}, keywords = {Analysis LSTM Mining Networks Neural Opinion Recurrent Sentiment}, language = {english}, month = jun, number = 4, pages = {891-896}, timestamp = {2021-07-15T10:38:26.000+0200}, title = {Movie Sentiment Analysis using Deep Learning RNN }, url = {https://www.ijtsrd.comcomputer-science/other/42414/movie-sentiment-analysis-using-deep-learning--rnn/nirsen-amal-a}, volume = 5, year = 2021 }