FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3033609692> ?p ?o ?g. }

• W3033609692 endingPage "22" @default.
• W3033609692 startingPage "7" @default.
• W3033609692 abstract "The rapid development and popularity of social media and social networks provide people with unprecedented opportunities to express and share their thoughts, views, opinions and feelings about almost anything through their personal webpages and blogs or using social network sites like Facebook, Twitter, and Blogger.  This study focuses on sentiment analysis of social media content because automatically identifying and classifying opinions from social media posts can provide significant economic values and social benefits. The major problem with sentiment analysis of social media posts is that it is extremely vast, fragmented, unorganized and unstructured. Nevertheless, many organizations and individuals are highly interested to know what other peoples are thinking or feeling about their services and products. Therefore, sentiment analysis has increasingly become a major area of research interest in the field of Natural Language Processing and Text Mining. In general, sentiment analysis is the process of automatically identifying and categorizing opinions in order to determine whether the writer's attitude towards a particular entity is positive or negative. To the best of the researcher’s knowledge, there is no Deep learning approach done for Afaan Oromoo Sentiment analysis to identify the opinion of the people on social media content. Therefore, in this study, we focused on investigating Convolutional Neural Network and Long Short Term Memory deep learning approaches for the development of sentiment analysis of Afaan Oromoo social media content such as Facebook posts comments. To this end, a total of 1452 comments collected from the official site of the Facebook page of Oromo Democratic Party/ODP for the study. After collecting the data, manual annotation is undertaken. Preprocessing, normalization, tokenization, stop word removal of the sentence are performed. We used the Keras deep learning python library to implement both deep learning algorithms. Long Short Term Memory and Convolutional Neural Network, we used word embedding as a feature. We conducted our experiment on the selected classifiers. For classifiers, we used 80% training and 20% testing rule. According to the experiment, the result shows that Convolutional Neural Network achieves the accuracy of 89%. The Long Short Memory achieves accuracy of 87.6%. Even though the result is promising there are still challenges. Keywords : Sentiment Analysis; Opinionated Afaan Oromoo facebook comments; Oromo Democratic Party Facebook page DOI: 10.7176/NMMC/90-02 Publication date: May 31 st 2020" @default.
• W3033609692 created "2020-06-12" @default.
• W3033609692 creator A5037607235 @default.
• W3033609692 date "2020-01-01" @default.
• W3033609692 modified "2023-09-23" @default.
• W3033609692 title "Sentiment Analysis of Afaan Oromoo Facebook Media Using Deep Learning Approach" @default.
• W3033609692 cites W1832693441 @default.
• W3033609692 cites W1994757795 @default.
• W3033609692 cites W2081375810 @default.
• W3033609692 cites W2186845332 @default.
• W3033609692 cites W2251143283 @default.
• W3033609692 cites W2251805006 @default.
• W3033609692 cites W2520314979 @default.
• W3033609692 cites W2565811926 @default.
• W3033609692 cites W2582154088 @default.
• W3033609692 cites W2914240631 @default.
• W3033609692 cites W2280519009 @default.
• W3033609692 doi "https://doi.org/10.7176/nmmc.vol907-22" @default.
• W3033609692 hasPublicationYear "2020" @default.
• W3033609692 type Work @default.
• W3033609692 sameAs 3033609692 @default.
• W3033609692 citedByCount "0" @default.
• W3033609692 crossrefType "journal-article" @default.
• W3033609692 hasAuthorship W3033609692A5037607235 @default.
• W3033609692 hasConcept C122980154 @default.
• W3033609692 hasConcept C136764020 @default.
• W3033609692 hasConcept C144024400 @default.
• W3033609692 hasConcept C154945302 @default.
• W3033609692 hasConcept C15744967 @default.
• W3033609692 hasConcept C162446236 @default.
• W3033609692 hasConcept C2780586970 @default.
• W3033609692 hasConcept C36289849 @default.
• W3033609692 hasConcept C41008148 @default.
• W3033609692 hasConcept C4727928 @default.
• W3033609692 hasConcept C518677369 @default.
• W3033609692 hasConcept C66402592 @default.
• W3033609692 hasConcept C77805123 @default.
• W3033609692 hasConceptScore W3033609692C122980154 @default.
• W3033609692 hasConceptScore W3033609692C136764020 @default.
• W3033609692 hasConceptScore W3033609692C144024400 @default.
• W3033609692 hasConceptScore W3033609692C154945302 @default.
• W3033609692 hasConceptScore W3033609692C15744967 @default.
• W3033609692 hasConceptScore W3033609692C162446236 @default.
• W3033609692 hasConceptScore W3033609692C2780586970 @default.
• W3033609692 hasConceptScore W3033609692C36289849 @default.
• W3033609692 hasConceptScore W3033609692C41008148 @default.
• W3033609692 hasConceptScore W3033609692C4727928 @default.
• W3033609692 hasConceptScore W3033609692C518677369 @default.
• W3033609692 hasConceptScore W3033609692C66402592 @default.
• W3033609692 hasConceptScore W3033609692C77805123 @default.
• W3033609692 hasLocation W30336096921 @default.
• W3033609692 hasOpenAccess W3033609692 @default.
• W3033609692 hasPrimaryLocation W30336096921 @default.
• W3033609692 hasRelatedWork W2184520678 @default.
• W3033609692 hasRelatedWork W2247088741 @default.
• W3033609692 hasRelatedWork W2525450952 @default.
• W3033609692 hasRelatedWork W2572678359 @default.
• W3033609692 hasRelatedWork W2593742461 @default.
• W3033609692 hasRelatedWork W2784071654 @default.
• W3033609692 hasRelatedWork W2785974395 @default.
• W3033609692 hasRelatedWork W2788167495 @default.
• W3033609692 hasRelatedWork W2788492534 @default.
• W3033609692 hasRelatedWork W2905986813 @default.
• W3033609692 hasRelatedWork W3022229613 @default.
• W3033609692 hasRelatedWork W3121721399 @default.
• W3033609692 hasRelatedWork W3157060897 @default.
• W3033609692 hasRelatedWork W3157497178 @default.
• W3033609692 hasRelatedWork W3170380557 @default.
• W3033609692 hasRelatedWork W3175186659 @default.
• W3033609692 hasRelatedWork W3183260361 @default.
• W3033609692 hasRelatedWork W3198888688 @default.
• W3033609692 hasRelatedWork W3208765419 @default.
• W3033609692 hasRelatedWork W2626990355 @default.
• W3033609692 hasVolume "90" @default.
• W3033609692 isParatext "false" @default.
• W3033609692 isRetracted "false" @default.
• W3033609692 magId "3033609692" @default.
• W3033609692 workType "article" @default.