Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313307420> ?p ?o ?g. }
Showing items 1 to 63 of
63
with 100 items per page.
- W4313307420 abstract "Mental health has been a topic of discussion since the COVID-19 pandemic. This article was focused on creating a chatbot app that will answer those frequently asked questions/statements about mental health to educate individuals. Within this project, natural language processing was used to preprocess the data. Term frequency-inverse document frequency vectorization method was used to explore if k-means clusters can categorize the questions/ statements. To reduce the dimensionality of the data vectors principal component analysis (PCA) and ISOMAP algorithm were used. PCA did not perform well for this dataset while ISOMAP did provide reasonable results. Lastly, for the app's design, several similarity measures such as, cosine similarity, Jaccard similarity, and Manhattan distance were experimented with to see which method would work the best to come up with the correct answer for the chatbot. Jaccard similarity was determined to be the best algorithm for the chatbot because it was able to handle questions and statements better than cosine similarity and Manhattan distance. The chatbot was created using the python library Kivy." @default.
- W4313307420 created "2023-01-06" @default.
- W4313307420 creator A5060681014 @default.
- W4313307420 creator A5062772920 @default.
- W4313307420 date "2022-11-16" @default.
- W4313307420 modified "2023-09-27" @default.
- W4313307420 title "Mental Health Frequently Asked Questions Chatbot Powered by Machine Learning" @default.
- W4313307420 cites W2071357012 @default.
- W4313307420 cites W3023498144 @default.
- W4313307420 cites W3036236864 @default.
- W4313307420 cites W3129181761 @default.
- W4313307420 cites W3164447366 @default.
- W4313307420 doi "https://doi.org/10.1109/iceccme55909.2022.9987745" @default.
- W4313307420 hasPublicationYear "2022" @default.
- W4313307420 type Work @default.
- W4313307420 citedByCount "0" @default.
- W4313307420 crossrefType "proceedings-article" @default.
- W4313307420 hasAuthorship W4313307420A5060681014 @default.
- W4313307420 hasAuthorship W4313307420A5062772920 @default.
- W4313307420 hasConcept C103278499 @default.
- W4313307420 hasConcept C111919701 @default.
- W4313307420 hasConcept C115961682 @default.
- W4313307420 hasConcept C119857082 @default.
- W4313307420 hasConcept C124101348 @default.
- W4313307420 hasConcept C154945302 @default.
- W4313307420 hasConcept C203519979 @default.
- W4313307420 hasConcept C204321447 @default.
- W4313307420 hasConcept C23123220 @default.
- W4313307420 hasConcept C2779041454 @default.
- W4313307420 hasConcept C2780762811 @default.
- W4313307420 hasConcept C41008148 @default.
- W4313307420 hasConcept C519991488 @default.
- W4313307420 hasConcept C73555534 @default.
- W4313307420 hasConceptScore W4313307420C103278499 @default.
- W4313307420 hasConceptScore W4313307420C111919701 @default.
- W4313307420 hasConceptScore W4313307420C115961682 @default.
- W4313307420 hasConceptScore W4313307420C119857082 @default.
- W4313307420 hasConceptScore W4313307420C124101348 @default.
- W4313307420 hasConceptScore W4313307420C154945302 @default.
- W4313307420 hasConceptScore W4313307420C203519979 @default.
- W4313307420 hasConceptScore W4313307420C204321447 @default.
- W4313307420 hasConceptScore W4313307420C23123220 @default.
- W4313307420 hasConceptScore W4313307420C2779041454 @default.
- W4313307420 hasConceptScore W4313307420C2780762811 @default.
- W4313307420 hasConceptScore W4313307420C41008148 @default.
- W4313307420 hasConceptScore W4313307420C519991488 @default.
- W4313307420 hasConceptScore W4313307420C73555534 @default.
- W4313307420 hasLocation W43133074201 @default.
- W4313307420 hasOpenAccess W4313307420 @default.
- W4313307420 hasPrimaryLocation W43133074201 @default.
- W4313307420 hasRelatedWork W1498072137 @default.
- W4313307420 hasRelatedWork W1890475286 @default.
- W4313307420 hasRelatedWork W1968351314 @default.
- W4313307420 hasRelatedWork W1992869332 @default.
- W4313307420 hasRelatedWork W2038636168 @default.
- W4313307420 hasRelatedWork W3214791869 @default.
- W4313307420 hasRelatedWork W4296300627 @default.
- W4313307420 hasRelatedWork W4299783644 @default.
- W4313307420 hasRelatedWork W88463392 @default.
- W4313307420 hasRelatedWork W2183521486 @default.
- W4313307420 isParatext "false" @default.
- W4313307420 isRetracted "false" @default.
- W4313307420 workType "article" @default.