{"id":"https://openalex.org/W4385644263","doi":"https://doi.org/10.48550/arxiv.2308.02142","title":"Tweet Insights: A Visualization Platform to Extract Temporal Insights from Twitter","display_name":"Tweet Insights: A Visualization Platform to Extract Temporal Insights from Twitter","publication_year":2023,"publication_date":"2023-08-04","ids":{"openalex":"https://openalex.org/W4385644263","doi":"https://doi.org/10.48550/arxiv.2308.02142"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2308.02142","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2308.02142","pdf_url":"https://arxiv.org/pdf/2308.02142","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"volume":null,"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2308.02142","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071099112","display_name":"Daniel Loureiro","orcid":"https://orcid.org/0000-0001-5134-360X","observed_orcids":["https://orcid.org/0000-0001-5134-360X"]},"institutions":[{"id":"https://openalex.org/I79510175","display_name":"Cardiff University","ror":"https://ror.org/03kk7td41","country_code":"GB","type":"education","lineage":["https://openalex.org/I79510175"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Loureiro, Daniel","raw_affiliation_strings":["Cardiff NLP , School of Computer Science and Informatics , Cardiff University , UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cardiff NLP , School of Computer Science and Informatics , Cardiff University , UK","institution_ids":["https://openalex.org/I79510175"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065605656","display_name":"Kiamehr Rezaee","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I79510175","display_name":"Cardiff University","ror":"https://ror.org/03kk7td41","country_code":"GB","type":"education","lineage":["https://openalex.org/I79510175"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Rezaee, Kiamehr","raw_affiliation_strings":["Cardiff NLP , School of Computer Science and Informatics , Cardiff University , UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cardiff NLP , School of Computer Science and Informatics , Cardiff University , UK","institution_ids":["https://openalex.org/I79510175"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081158665","display_name":"Talayeh Riahi","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I79510175","display_name":"Cardiff University","ror":"https://ror.org/03kk7td41","country_code":"GB","type":"education","lineage":["https://openalex.org/I79510175"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Riahi, Talayeh","raw_affiliation_strings":["Cardiff NLP , School of Computer Science and Informatics , Cardiff University , UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cardiff NLP , School of Computer Science and Informatics , Cardiff University , UK","institution_ids":["https://openalex.org/I79510175"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102984496","display_name":"Francesco Barbieri","orcid":"https://orcid.org/0000-0002-2144-8440","observed_orcids":["https://orcid.org/0000-0002-2144-8440"]},"institutions":[{"id":"https://openalex.org/I4210142583","display_name":"Snap (United States)","ror":"https://ror.org/04dgkhg68","country_code":"US","type":"company","lineage":["https://openalex.org/I4210142583"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Barbieri, Francesco","raw_affiliation_strings":["Snap Inc. , Santa Monica , California , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Snap Inc. , Santa Monica , California , USA","institution_ids":["https://openalex.org/I4210142583"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113916937","display_name":"Leonardo Neves","orcid":"https://orcid.org/0000-0002-3857-0522","observed_orcids":["https://orcid.org/0000-0002-3857-0522"]},"institutions":[{"id":"https://openalex.org/I4210142583","display_name":"Snap (United States)","ror":"https://ror.org/04dgkhg68","country_code":"US","type":"company","lineage":["https://openalex.org/I4210142583"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Neves, Leonardo","raw_affiliation_strings":["Snap Inc. , Santa Monica , California , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Snap Inc. , Santa Monica , California , USA","institution_ids":["https://openalex.org/I4210142583"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002661723","display_name":"Luis Espinosa-Anke","orcid":"https://orcid.org/0000-0001-6830-9176","observed_orcids":["https://orcid.org/0000-0001-6830-9176"]},"institutions":[{"id":"https://openalex.org/I79510175","display_name":"Cardiff University","ror":"https://ror.org/03kk7td41","country_code":"GB","type":"education","lineage":["https://openalex.org/I79510175"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Anke, Luis Espinosa","raw_affiliation_strings":["AMPLYFI","Cardiff NLP , School of Computer Science and Informatics , Cardiff University , UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AMPLYFI","institution_ids":[]},{"raw_affiliation_string":"Cardiff NLP , School of Computer Science and Informatics , Cardiff University , UK","institution_ids":["https://openalex.org/I79510175"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086289154","display_name":"Jos\u00e9 Camacho-Collados","orcid":"https://orcid.org/0000-0003-1618-7239","observed_orcids":["https://orcid.org/0000-0003-1618-7239"]},"institutions":[{"id":"https://openalex.org/I79510175","display_name":"Cardiff University","ror":"https://ror.org/03kk7td41","country_code":"GB","type":"education","lineage":["https://openalex.org/I79510175"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Camacho-Collados, Jose","raw_affiliation_strings":["Cardiff NLP , School of Computer Science and Informatics , Cardiff University , UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cardiff NLP , School of Computer Science and Informatics , Cardiff University , UK","institution_ids":["https://openalex.org/I79510175"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9110999703407288,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9110999703407288,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13910","display_name":"Computational and Text Analysis Methods","score":0.061799999326467514,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.017100000753998756,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/twitter","display_name":"Twitter","score":0.8610000014305115},{"id":"https://openalex.org/keywords/temporal-analysis","display_name":"temporal analysis","score":0.8309999704360962},{"id":"https://openalex.org/keywords/word-embeddings","display_name":"word embeddings","score":0.796999990940094},{"id":"https://openalex.org/keywords/n-gram-frequencies","display_name":"n-gram frequencies","score":0.8420000076293945},{"id":"https://openalex.org/keywords/topic-distribution","display_name":"topic distribution","score":0.9049999713897705},{"id":"https://openalex.org/keywords/semantic-change","display_name":"semantic change","score":0.4749999940395355},{"id":"https://openalex.org/keywords/language-model-fine-tuning","display_name":"language model fine-tuning","score":0.6930000185966492},{"id":"https://openalex.org/keywords/visualization-platform","display_name":"visualization platform","score":0.6859999895095825},{"id":"https://openalex.org/keywords/social-media-language","display_name":"social media language","score":0.5130000114440918}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7719162106513977},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5506243705749512},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.547524094581604},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.541746973991394},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.49416354298591614},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.45228713750839233},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4515943229198456},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.39920079708099365},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.30550307035446167},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.2940528392791748},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2597878575325012},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.08241796493530273},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07696771621704102},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2308.02142","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2308.02142","pdf_url":"https://arxiv.org/pdf/2308.02142","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2308.02142","doi":"https://doi.org/10.48550/arxiv.2308.02142","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2308.02142","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2308.02142","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2308.02142","pdf_url":"https://arxiv.org/pdf/2308.02142","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385644263.pdf","grobid_xml":"https://content.openalex.org/works/W4385644263.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3199414990","https://openalex.org/W7100324152","https://openalex.org/W2787457030","https://openalex.org/W4415335352","https://openalex.org/W2620189036","https://openalex.org/W3216434081","https://openalex.org/W191206337","https://openalex.org/W6987730734","https://openalex.org/W2749959433","https://openalex.org/W7100311150"],"abstract_inverted_index":{"This":[0,25],"paper":[1],"introduces":[2],"a":[3],"large":[4],"collection":[5],"of":[6,48],"time":[7],"series":[8],"data":[9,26,50,91],"derived":[10],"from":[11],"Twitter,":[12],"postprocessed":[13],"using":[14],"word":[15],"embedding":[16],"techniques,":[17],"as":[18,20,68],"well":[19],"specialized":[21],"fine-tuned":[22],"language":[23],"models.":[24],"comprises":[27],"the":[28,88],"past":[29],"five":[30],"years":[31],"and":[32,40,56,70,83,87],"captures":[33],"changes":[34],"in":[35,59],"n-gram":[36],"frequency,":[37],"similarity,":[38],"sentiment":[39,69],"topic":[41,71],"distribution.":[42],"The":[43],"interface":[44],"built":[45],"on":[46],"top":[47],"this":[49,96],"enables":[51],"temporal":[52,113],"analysis":[53],"for":[54,80,92,112],"detecting":[55],"characterizing":[57],"shifts":[58],"meaning,":[60],"including":[61],"complementary":[62],"information":[63],"to":[64,106],"trending":[65],"metrics,":[66],"such":[67],"association":[72],"over":[73],"time.":[74],"We":[75],"release":[76],"an":[77],"online":[78],"demo":[79],"easy":[81],"experimentation,":[82],"we":[84,98],"share":[85],"code":[86],"underlying":[89],"aggregated":[90],"future":[93],"work.":[94],"In":[95],"paper,":[97],"also":[99],"discuss":[100],"three":[101],"case":[102],"studies":[103],"unlocked":[104],"thanks":[105],"our":[107],"platform,":[108],"showcasing":[109],"its":[110],"potential":[111],"linguistic":[114],"analysis.":[115]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2023-08-08T00:00:00"}