Page 115 - E-Skripsi Analisis Sentimen Terhadap Aplikasi Sapawarga Jabar Super Apps Pada Ulasan Google Play Store
P. 115

Technology  Acceptance  Model  to  Assess  the  Role  of  Complexity  Toward

                            Customer Acceptance on Mobile Banking.  Lecture Notes in  Networks  and
                            Systems, 149. https://doi.org/10.1007/978-981-15-7990-5_25

                        Rahman,  S.  S.  M.  M.,  Biplob,  K.  B.  Md.  B.,  Rahman,  Md.  H.,  Sarker,  K.,  &

                            Islam, T. (2020). An Investigation and Evaluation of N-Gram, TF-IDF and
                            Ensemble     Methods    in   Sentiment    Classification   (pp.   391–402).

                            https://doi.org/10.1007/978-3-030-52856-0_31
                        Rajeswari,  A.  M.,  Mahalakshmi,  M.,  Nithyashree,  R.,  &  Nalini,  G.  (2020).

                            Sentiment  Analysis  for  Predicting  Customer  Reviews  using  a  Hybrid

                            Approach.  Proceedings  -  2020  Advanced  Computing  and  Communication
                            Technologies  for  High  Performance  Applications,  ACCTHPA  2020.

                            https://doi.org/10.1109/ACCTHPA49271.2020.9213236
                        Saad,  S.  E.,  &  Yang,  J.  (2019).  Twitter  Sentiment  Analysis  Based  on  Ordinal

                            Regression.         IEEE         Access,         7,        163677–163685.
                            https://doi.org/10.1109/ACCESS.2019.2952127

                        Salsabila,  N.  A.,  Winatmoko,  Y.  A.,  Septiandri,  A.  A.,  &  Jamal,  A.  (2018).

                            Colloquial  Indonesian  Lexicon.  2018  International  Conference  on  Asian
                            Language               Processing             (IALP),             226–229.

                            https://doi.org/10.1109/IALP.2018.8629151
                        Satgas  Penanganan  Covid-19.  (2023).  Perkembangan  Harian  Kasus

                            Terkonfirmasi        Positif     Covid-19        di      Jawa        Barat.

                            https://opendata.jabarprov.go.id/id/dataset/perkembangan-harian-kasus-
                            terkonfirmasi-positif-covid-19-di-jawa-barat

                        Tala,  F.  Z.  (2003).  A  Study  of  Stemming  Effects  on  Information  Retrieval  in
                            Bahasa Indonesia. M.Sc. Thesis, Appendix D, pp.

                        Tripathy,  A.,  Agrawal,  A.,  &  Rath,  S.  K.  (2016).  Classification  of  sentiment

                            reviews  using  n-gram  machine  learning  approach.  Expert  Systems  with
                            Applications, 57, 117–126. https://doi.org/10.1016/j.eswa.2016.03.028

                        Trueman, T. E., Jayaraman, A. K., Cambria, E., Ananthakrishnan, G., & Mitra, S.
                            (2022). An N-gram-Based BERT model for Sentiment Classification Using

                            Movie Reviews. International Conference on Artificial Intelligence and Data





                                                              101
   110   111   112   113   114   115   116   117   118   119   120