[PDF][PDF] Sentiment analysis of hotel reviews using Latent Dirichlet Allocation, semantic similarity and LSTM
RA Priyantina, R Sarno - Int. J. Intell. Eng. Syst, 2019 - academia.edu
Product reviews are usually determined by sentiment of customers; however sentiment
analysis based on aspects still need further research. A hotel commonly has five aspects …
analysis based on aspects still need further research. A hotel commonly has five aspects …
Enhancing the performance of sentiment analysis task on product reviews by handling both local and global context
BS Rintyarna, R Sarno… - International Journal of …, 2020 - inderscienceonline.com
Commonly, product review analysis includes extracting sentiment from product documents.
The contextual aspect contained in a review document has potential to improve results …
The contextual aspect contained in a review document has potential to improve results …
Prediction of movie sentiment based on reviews and score on rotten tomatoes using sentiwordnet
A Firmanto, R Sarno - 2018 International Seminar on …, 2018 - ieeexplore.ieee.org
With the number of films released each year, the movie review website is becoming more
popular. One of the most referenced movie review websites is Rotten Tomatoes. Rotten …
popular. One of the most referenced movie review websites is Rotten Tomatoes. Rotten …
An experimental study of supervised sentiment analysis using Gaussian Naïve Bayes
UW Wijayanto, R Sarno - 2018 International Seminar on …, 2018 - ieeexplore.ieee.org
In this millennial generation everyone using technology at higher rates than people from
other generations. It means the millennial generation is aware of evolving technology. Many …
other generations. It means the millennial generation is aware of evolving technology. Many …
[PDF][PDF] Aspect-based sentiment analysis of financial headlines and microblogs using semantic similarity and bidirectional long short-term memory
Financial headlines and microblogs usually have sentiment of finance and research further
about aspect of sentiment analysis still needed. From dataset FiQA 2018 challenges 4 …
about aspect of sentiment analysis still needed. From dataset FiQA 2018 challenges 4 …
Book recommendation using Neo4j graph database in BibTeX book metadata
INPW Dharmawan, R Sarno - 2017 3rd International …, 2017 - ieeexplore.ieee.org
In digital era, book has an important role in life. There are not only a lot of books for different
purpose. But also, there are many book metadata which can use for another reason, such as …
purpose. But also, there are many book metadata which can use for another reason, such as …
Detection and Sentiment Analysis Based on Mental Disorders Aspects Using Bidirectional Gated Recurrent Unit and Semantic Similarity.
AN Sutranggono, R Sarno - International Journal of …, 2024 - search.ebscohost.com
Mental disorders significantly impact daily life and are among the leading causes of suicide.
Despite numerous studies on detecting mental disorders on social media, the focus has …
Despite numerous studies on detecting mental disorders on social media, the focus has …
[PDF][PDF] Query Expansion Based on Wikipedia Word Embedding and BabelNet Method for Searching Arabic Documents.
Document searching using queries that can understand the context can affect the intent and
purpose of the user's desire when searching documents. Many studies have been …
purpose of the user's desire when searching documents. Many studies have been …
Generating similarity cluster of Indonesian languages with semi-supervised clustering
Lexicostatistic and language similarity clusters are useful for computational linguistic
researches that depends on language similarity or cognate recognition. Nevertheless, there …
researches that depends on language similarity or cognate recognition. Nevertheless, there …
Word sense disambiguation in Bahasa Indonesia using SVM
Currently, the use of Indonesian language on the internet is growing rapidly and many of the
existing sentences contain ambiguous words. In Natural Language Processing the problem …
existing sentences contain ambiguous words. In Natural Language Processing the problem …