Table 1 The result of BERTopic for AVs.

From: Unveiling public perceptions of battery technology in autonomous vehicles via topic modeling of news articles

Dimensions	Topic_name	Keywords
Automobile (artefact)	Artificial intelligence	ai \| artificial \| intelligence \| learning \| machine \| data \| human \| robotics \| technologies \| computing \| technology \| algorithms \| research \| machines \| cloud \| use \| deep \| applications \| systems \| humans
	Autonomous levels	control \| lane \| automated \| emergency \| level4 \| highlights \| traffic \| automatic \| navigation \| gesture \| snowfalls \| material \| fallback \| mapping \| features \| lidar \| autonomy \| referencing \| fishery \| laser
	Forecast of Avs	dubai \| transport \| al \| metro \| rta \| bin \| dubais \| maktoum \| tayer \| rashid \| authority \| mohammed \| uae \| ruler \| sheikh \| driverless \| shaikh \| line \| roads \| city
	Forecast of next-generation car-service	dream \| slideshow \| optimizations \| garrett \| exponentially \| handles \| eats \| delivery \| laying \| camp \| grocery \| ondemand \| nextgeneration \| 2008 \| taxis \| segment \| august \| rapidly \| founder \| fleet
	Forecast of trends	slide \| trends \| james \| forecast \| industrydefining \| ball \| decks \| crystal \| affecting \| credit \| deck \| forecasts \| context \| thomson \| mike \| successful \| points \| stoll \| colias \| fernyhough
	Internet of things	smart \| iot \| snowgrooming \| kuocofounderthe \| sewers \| wearables \| assistants \| homes \| blockchain \| speakers \| platforms \| voice \| 40 \| cybersecurity \| variablecct \| ninu \| divac \| cityapril \| ablelink \| mobilesmart
	Network system	5 g \| networks \| huawei \| network \| wireless \| 4 g \| mobile \| equipment \| telecom \| spectrum \| carriers \| speeds \| ericsson \| latency \| devices \| communications \| rollout \| faster \| technology \| internet
	Personal data	data \| protection \| analytics \| cloud \| big \| privacy \| information \| personal \| use \| security \| iot \| processing \| sensors \| oracle \| access \| services \| devices \| realtime \| systems \| users
	R&D activities	technology \| science \| innovation \| research \| development \| institute \| university \| blockchain \| engineering \| singapore \| advanced \| information \| oppo \| policy \| use \| manufacturing \| industry \| global \| innovative \| companies
	Sensors	vehicle \| driver \| control \| cameras \| brakes \| safety \| command \| steering \| sensors \| emergency \| road \| systems \| traffic \| level \| equipped \| drivers \| hydrogen \| autonomous \| radars \| nuros
ETC-related markets or industries	Digital transformation	digital \| transformation \| singapore \| economy \| services \| solutions \| technologies \| india \| new \| payments \| revolution \| businesses \| innovation \| platforms \| opportunities \| platform \| connectivity \| banking \| physical \| skills
	Electric vehicles	electric \| vehicles \| battery \| charging \| vehicle \| hybrid \| allelectric \| electricvehicle \| plugin \| ev \| cars \| fuel \| batteries \| plans \| motors \| stations \| models \| range \| evs \| gm
	Energy management	energy \| co2 \| band \| nyok \| yongpresidentsingapore \| emissions \| renewable \| greta \| green \| thunberg \| production \| climate \| ho \| nordaq \| greenpowered \| resourceefficient \| gkm \| peppermint \| a3 \| activist
	Related industries	industry \| auto \| industrys \| automotive \| semiconductor \| sector \| manufacturing \| global \| government \| 40 \| tech \| technology \| association \| transformation \| innovation \| new \| supply \| chain \| said \| companies
	Robot makers	weep \| roomba \| conk \| robotmakers \| takes \| echo \| bauman \| complete \| dived \| briefly \| estrada \| choked \| weeks \| phone \| like \| hears \| legality \| waller \| toddler \| got
Markets and user practices	Forecast of future cities	future \| cities \| transportation \| episode \| humanfocused \| drdos \| planners \| commute \| ametropolis \| powerassisted \| legge \| erath \| lighting \| gaganyaan \| polycentric \| spoils \| citieswith \| placemaking \| usercentric \| cheerful
	Job market	workers \| clean \| said \| members \| secondrow \| jobs \| people \| items \| used \| increasingly \| rising \| robots \| cities \| projects \| automated \| available \| reasons \| countries \| stations \| major
	Labor market	time \| years \| ago \| just \| didnt \| ms \| did \| said \| later \| came \| day \| people \| new \| like \| took \| world \| got \| wanted \| early \| work
	Forecast of global markets	future \| continue \| customers \| innovation \| need \| world \| said \| digital \| economy \| singapore \| work \| make \| new \| lives \| technology \| way \| business \| solutions \| support \| today
	Labor productivity	years \| past \| productivity \| growth \| labour \| euro \| crisis \| area \| slowdown \| project \| decade \| seen \| taken \| global \| helped \| tata \| long \| recent \| progress \| economies
	Shaping the future	future \| mobility \| dubai \| sustainable \| economy \| transport \| accelerators \| vision \| transportation \| uae \| cities \| innovation \| strategy \| museum \| programme \| world \| challenges \| innovative \| mohammed \| global
Production system and industry structure	Firms’ activities in China	china \| chinas \| chinese \| trade \| beijing \| huawei \| companies \| foreign \| countries \| economic \| alibaba \| market \| xi \| global \| trump \| hong \| uschina \| government \| officials \| kong
	Firms’ performance	company \| year \| car \| said \| sales \| apple \| think \| going \| business \| want \| quarter \| youre \| need \| companys \| years \| like \| just \| growth \| dont \| know
	Firms’ response to their issues	comment \| declined \| respond \| request \| immediately \| didnt \| spokesman \| requests \| spokeswoman \| spokesperson \| apple \| did \| reply \| spokesmen \| representatives \| specifics \| baidu \| daimler \| paytm \| amazon
	Ford	ford \| motor \| fords \| motors \| auto \| hackett \| general \| chrysler \| fiat \| fields \| makers \| gm \| volkswagen \| toyota \| ag \| maker \| corp \| mr \| automobiles \| cos
	GM	gm \| gms \| barra \| mary \| ms \| cruise \| suryadevara \| plants \| factory \| ohio \| workers \| lordstown \| opel \| plant \| cadillac \| factories \| ammann \| chief \| auto \| detroit
	Google	google \| googles \| alphabet \| search \| page \| advertising \| parent \| pichai \| brin \| android \| youtube \| ads \| glass \| company \| larry \| sergey \| sundar \| internet \| facebook \| maps
	Investing activities	investment \| fund \| capital \| funds \| investors \| infrastructure \| private \| investments \| venture \| foreign \| european \| public \| government \| sector \| growth \| uk \| bank \| longterm \| firm \| saudi
	Investment fund	million \| raised \| funding \| fund \| total \| round \| year \| capital \| 2014 \| 2017 \| firm \| 100 \| investment \| ventures \| revenue \| company \| according \| loss \| 15 \| sales
	Investment on innovation activities	known \| services \| new \| security \| possible \| companies \| areas \| sectors \| service \| business \| growth \| technology \| products \| demand \| singapore \| internet \| key \| research \| manufacturing \| systems
	Leading tech companies	amazoncom \| alphabet \| apple \| facebook \| incs \| google \| corp \| microsoft \| companies \| tech \| parent \| walmart \| giants \| amazon \| market \| netflix \| rivals \| internet \| including \| investors
	Manufacturers	auto \| makers \| sales \| car \| maker \| suppliers \| detroit \| industry \| production \| motor \| companies \| ag \| cars \| safety \| vehicles \| gm \| executives \| parts \| chip \| demand
	Revenue	cent \| average \| share \| 30 \| 10 \| 20 \| growth \| year \| hour \| 50 \| 40 \| 25 \| increase \| rate \| 80 \| 90 \| 2030 \| revenue \| energy \| total
	Ride-sharing	uber \| billion \| selfdriving \| ubers \| cars \| lyft \| ridehailing \| drivers \| company \| year \| revenue \| waymo \| driving \| vehicles \| said \| kalanick \| according \| car \| autonomous \| technology
	Stock market	amp \| sampp \| rampd \| 500 \| dow \| atampt \| mahindra \| nasdaq \| stocks \| mampm \| index \| rose \| family \| asia \| development \| research \| india \| director \| jones \| group
	Supply chain	strategies \| chain \| supply \| nefco \| venturessupply \| contractspartnershipsagreements \| collaborationsjoint \| contractscollaborationsjvs \| providertekk \| partnershipssupply \| partnershipsagreementscollaborationssupply \| 1922 \| 1123 \| 1332 \| floridabased \| coronavirus \| rattle \| faces \| disruption \| earthquakes
	Tech-focused Nasdaq Composite Index	points \| percent \| index \| composite \| nasdaq \| benchmark \| closed \| rose \| dow \| sampp \| shares \| 500 \| ordinaries \| samppasx \| broader \| gained \| seng \| topix \| barrel \| 04
	Tesla	tesla \| musk \| teslas \| autopilot \| model \| elon \| crash \| musks \| car \| vehicles \| driver \| feature \| safety \| sedan \| fatal \| electric \| drivers \| ceo \| production \| driverassistance
	Ubercab	ubercab \| genesis \| envisioned \| bi \| camp \| deck \| pitch \| original \| coverage \| stories \| prime \| todays \| successful \| took \| ago \| look \| 10 \| uber \| years \| companies
	Ventures	capital \| partners \| venture \| partner \| broadlydefined \| ventures \| fund \| 2350 \| equity \| investing \| jpn \| greenpro \| brickley \| london \| idinvest \| investors \| liquidity \| funds \| providence \| remedy
Regulation and policies	National departments and agencies	secretary \| minister \| said \| transport \| baldwin \| shapps \| grayling \| harriett \| chris \| defence \| lord \| ceo \| baroness \| maclean \| liam \| harrington \| johnson \| grant \| manager \| jesse
Regulation and policies	Safety issues	cars \| driverless \| roads \| autonomous \| traffic \| road \| volvo \| safety \| accidents \| technology \| drivers \| vehicles \| trucks \| drive \| car \| like \| connected \| rules \| safer \| streets
Road infrastructure and traffic system	Forecast of transportation system	new \| metro \| able \| jobs \| line \| project \| trains \| phase \| available \| time \| continue \| help \| people \| work \| 2020 \| transport \| soon \| train \| change \| technology
	Infrastructure	autonomous \| vehicles \| testing \| connected \| roads \| vehicle \| safety \| road \| test \| fully \| automated \| systems \| transport \| mobility \| transportation \| traffic \| public \| driverless \| infrastructure \| research
	Smart cities and their infrastructure	smart \| cities \| city \| solutions \| urban \| transportation \| infrastructure \| mobility \| sustainable \| traffic \| challenge \| singapore \| projects \| wastewater \| management \| orange \| vision \| services \| sewers \| transform

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Table 1 The result of BERTopic for AVs.

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