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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    UnicodeDecodeError
Message:      'utf-8' codec can't decode byte 0xe9 in position 57264: invalid continuation byte
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1995, in _prepare_split_single
                  for _, table in generator:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/csv/csv.py", line 195, in _generate_tables
                  for batch_idx, df in enumerate(csv_file_reader):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 1843, in __next__
                  return self.get_chunk()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 1985, in get_chunk
                  return self.read(nrows=size)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 1923, in read
                  ) = self._engine.read(  # type: ignore[attr-defined]
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/c_parser_wrapper.py", line 234, in read
                  chunks = self._reader.read_low_memory(nrows)
                File "parsers.pyx", line 850, in pandas._libs.parsers.TextReader.read_low_memory
                File "parsers.pyx", line 905, in pandas._libs.parsers.TextReader._read_rows
                File "parsers.pyx", line 874, in pandas._libs.parsers.TextReader._tokenize_rows
                File "parsers.pyx", line 891, in pandas._libs.parsers.TextReader._check_tokenize_status
                File "parsers.pyx", line 2053, in pandas._libs.parsers.raise_parser_error
              UnicodeDecodeError: 'utf-8' codec can't decode byte 0xe9 in position 57264: invalid continuation byte
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1529, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1154, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2038, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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text
string
Sentiments
string
game hurt
negative
sexuality shouldnt grouping category make different othet ppl imo fit definition grouping
negative
right dont care fuck em
neutral
man love reddit
positive
name nowhere near falcon
neutral
right considering important document know damned thing backwards forward thanks help
positive
isnt big he still quite popular ive heard thing content never watched much
negative
thats crazy went super religion high school think remember girl entire year became teen mom
positive
thats adorable asf
positive
sponge blurb pub quaw haha gurr ha aaa finale real
positive
wanted downvote fault homie
negative
odd
negative
build wall jk
neutral
appreciate thats good know hope ill apply knowledge one day
positive
one time stopped right st able get good photo platform since light along
neutral
well id say pretty good chance girl lol
positive
pretty much every punjabi dude ive met
positive
extra measure tape right crotch cant take sexual assault reason
negative
video doesnt even show shoe wearing
neutral
clemson give pride sticker snap played
negative
may die sacrifice im willing make
positive
im wondering ive missing thank
positive
definitely fit rboneappletea
neutral
seeeee one coloureds
positive
yup anymore keep blood sugar really help drink water
positive
lot play store apple store vpn nord good
positive
happy name sad he imagine team name instead name ugh
negative
name saying sorta disappointing
neutral
something something something space aid
neutral
dark funny really nice guy yet call dead girl whore declining sleep
negative
ive probably put couple hundred mile space saver tire still right
neutral
im glad he okay im even gladder gif guy skiparachuting mountain
positive
nice ill try one
positive
cant stand name especially since tatooing face video
negative
came home fuck lineup love name mad bastard
positive
go troll elsewhere woman need support crass question
negative
rumor online likely wont happen
negative
na rediting post sorry ignorance
negative
content creator dont deserve paid second spent listening ad valuable
negative
pity decent lunch never went night
negative
far coolest thing ive seen thread yet
positive
cureall since dont thing next best option
negative
there pattern yes
positive
name similar role end year way taking especially sony
neutral
oh whoop misread original comment
negative
sending love strength vibe
positive
shes like kewpie doll precious
positive
knowing one thing
negative
thanks info mate gon na watch next time
positive
name cheaper would kept name would extend mil
neutral
honestly point dont think there anything make feel better maybe road right nothing helping
negative
repercussion judge right considering crime bail seems incredibly low
negative
good old guardian refusing accept name stauncly antieu antibrussels
negative
dont even try make shot like got ta watch people make
negative
first time couple year
positive
got ta protectem
positive
ironic could save others secrecyenabled corruption
positive
guy basically referee parliament right like rest thats questionable
neutral
oi u cancer dont want either respectfully pas birthday april
negative
oh dare discus disgustingly unhealthy dangerous lifestyle pursue
negative
totally make le funny person like never seen laughed
positive
thanks effort
positive
damn thats profound graduate harvard
positive
nice ill look around thanks
positive
press fucken charge moment use info
negative
love woman
positive
give snowman broom feel like thats thing people
negative
service made year ago yeah ikr year ago
positive
loved name feel like everyone office family relationship name cute innocent
positive
im sorry game really isnt progression like would ruin base game
negative
exactly volunteer ira
positive
intp cared deadline got good crunch time working last minute
negative
dm say im sorry
neutral
call liar sick reference
negative
shut yearold
negative
doesnt matter pick someone pick never good
negative
feel since im using gamethreads let frustration realistically know need keep patient rerebuild
neutral
got shirt made say cant kid dog allergic
positive
thought good guy one sick bastard thats sure
positive
kinda cute
positive
life hack didnt know needed life
neutral
best side quest ever
positive
calm
negative
wanted know there another like meaning whole selfie thing liked
positive
youre wrong nba initialism cant pronounced word oh man love reddit
negative
wait wait false promise wait mandatory prompt wait empty gesture
neutral
started feeling smug short shower remembered small water heater
positive
didnt like family ending liked atlantis ending especially know going see dlc
positive
agree keep trying rejected every time im sorry done
positive
dead tragic drowning accident asking friend
negative
claim best shooter overall best shooter
positive
thats professor name savage
negative
let go dragged
positive
getting kinsler happy
positive
course lie cheat steal make self relevant public horrible person
negative
want connect alright wallet
neutral
thats make smallest payment possible need float payment work
positive
name name dont try tell defend
neutral
ready experience cane hockey
positive
mean thats stupid rule creates echo chamber dont see belongs
negative
End of preview.

Data Collection

The sentiment data used in this project was collected manually. The dataset, stored in an Excel file (Sentiment.xlsx), includes text samples with corresponding sentiment labels. Details about the manual data collection process, sources, and criteria are explained in the data collection section of the code.

Data Cleaning

Before training the sentiment analysis model, the collected data undergoes a cleaning process. The clean_text function is applied to each text sample, which includes tasks such as lowercasing, HTML tag removal, punctuation removal, and lemmatization. The cleaned data is then used for model training.

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