Video Game Reviews Sentiment to Popularity (2024)

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• Plain text

• 588 KB

• Portable Document Format

• 4.41 MB

• ZIP Format

Folder for the capstone-2023 repository. SQL files for creating DB tables. Copy of README. Notebooks for data extraction, cleaning, exploraion, and model creation. Dashboard files for building and hosting a local flask server.

name: group6b channels: - defaults dependencies: - asttokens=2.0.5=pyhd3eb1b0_0 - backcall=0.2.0=pyhd3eb1b0_0 - ca-certificates=2022.07.19=haa95532_0 - certifi=2022.9.14=py39haa95532_0 - colorama=0.4.5=py39haa95532_0 - debugpy=1.5.1=py39hd77b12b_0 - decorator=5.1.1=pyhd3eb1b0_0 - entrypoints=0.4=py39haa95532_0 - executing=0.8.3=pyhd3eb1b0_0 - ipykernel=6.15.2=py39haa95532_0 - ipython=8.4.0=py39haa95532_0 - jedi=0.18.1=py39haa95532_1 - libsodium=1.0.18=h62dcd97_0 - matplotlib-inline=0.1.6=py39haa95532_0 - nest-asyncio=1.5.5=py39haa95532_0 - openssl=1.1.1q=h2bbff1b_0 - packaging=21.3=pyhd3eb1b0_0 - parso=0.8.3=pyhd3eb1b0_0 - pickleshare=0.7.5=pyhd3eb1b0_1003 - pip=22.1.2=py39haa95532_0 - psutil=5.9.0=py39h2bbff1b_0 - pure_eval=0.2.2=pyhd3eb1b0_0 - pygments=2.11.2=pyhd3eb1b0_0 - pyparsing=3.0.9=py39haa95532_0 - python=3.9.13=h6244533_1 - python-dateutil=2.8.2=pyhd3eb1b0_0 - pywin32=302=py39h2bbff1b_2 - setuptools=63.4.1=py39haa95532_0 - six=1.16.0=pyhd3eb1b0_1 - sqlite=3.39.3=h2bbff1b_0 - stack_data=0.2.0=pyhd3eb1b0_0 - tornado=6.2=py39h2bbff1b_0 - tzdata=2022c=h04d1e81_0 - vc=14.2=h21ff451_1 - vs2015_runtime=14.27.29016=h5e58377_2 - wcwidth=0.2.5=pyhd3eb1b0_0 - wheel=0.37.1=pyhd3eb1b0_0 - wincertstore=0.2=py39haa95532_2 - zeromq=4.3.4=hd77b12b_0 - spacy-model-en_core_web_sm - pip: - affinegap==1.12 - aiodns==3.0.0 - aiohttp==3.8.3 - aiohttp-retry==2.8.3 - aiosignal==1.3.1 - aniso8601==9.0.1 - ansi2html==1.8.0 - anyio==3.6.2 - argon2-cffi==21.3.0 - argon2-cffi-bindings==21.2.0 - arrow==1.2.3 - async-timeout==4.0.2 - attrs==22.2.0 - beautifulsoup4==4.11.1 - bleach==6.0.0 - blis==0.7.9 - bpemb==0.3.4 - brotli==1.0.9 - btrees==4.10.1 - cachetools==5.2.0 - catalogue==2.0.8 - categorical-distance==1.9 - cchardet==2.1.7 - cffi==1.15.1 - charset-normalizer==2.1.1 - click==8.1.3 - click-plugins==1.1.1 - cligj==0.7.2 - cloudpickle==2.2.0 - confection==0.0.3 - conllu==4.5.2 - contourpy==1.0.5 - cycler==0.11.0 - cymem==2.0.7 - cython==0.29.28 - dash==2.8.1 - dash-core-components==2.0.0 - dash-html-components==2.0.0 - dash-table==5.0.0 - datetime-distance==0.1.3 - dedupe - dedupe-variable-datetime - defusedxml==0.7.1 - deprecated==1.2.13 - doublemetaphone==1.1 - emoji==2.2.0 - fastjsonschema==2.16.2 - filelock==3.9.0 - fiona==1.9.1 - flair==0.11.3 - flask - flask-cors - flask-restful - fonttools==4.37.4 - fqdn==1.5.1 - frozenlist==1.3.3 - ftfy==6.1.1 - funcy==1.17 - future==0.18.2 - gdown==4.4.0 - gensim==4.2.0 - geopandas==0.12.2 - google-api-core==2.11.0 - google-api-python-client==2.71.0 - google-auth==2.15.0 - google-auth-httplib2==0.1.0 - google-auth-oauthlib==0.8.0 - googleapis-common-protos==1.57.1 - greenlet==1.1.3.post0 - haversine==2.7.0 - highered==0.2.1 - httplib2==0.21.0 - huggingface-hub==0.12.1 - hyperopt==0.2.7 - icecream==2.1.3 - idna==3.4 - igraph==0.10.4 - importlib-metadata - ipython-genutils==0.2.0 - ipywidgets==8.0.4 - isodate==0.6.1 - isoduration==20.11.0 - itsdangerous==2.1.2 - janome==0.4.2 - jinja2==3.1.2 - joblib==1.2.0 - jsonpath-ng==1.5.3 - jsonpointer==2.3 - jsonschema==4.17.3 - jupyter==1.0.0 - jupyter-client==8.0.2 - jupyter-console==6.5.0 - jupyter-core==5.2.0 - jupyter-dash==0.4.2 - jupyter-events==0.6.3 - jupyter-server==2.2.1 - jupyter-server-terminals==0.4.4 - jupyterlab-pygments==0.2.2 - jupyterlab-widgets==3.0.5 - kiwisolver==1.4.4 - konoha - langcodes==3.3.0 - langdetect==1.0.9 - python-levenshtein - lxml==4.9.2 - markupsafe==2.1.1 - matplotlib==3.6.1 - mistune==2.0.5 - more-itertools==9.1.0 - mpld3==0.3 - multidict==6.0.4 - munch==2.5.0 - murmurhash==1.0.9 - mwparserfromhell==0.6.4 - nbclassic==0.5.1 - nbclient==0.7.2 - nbconvert==7.2.9 - nbformat==5.7.3 - neo4j==5.3.0 - networkx==2.8.8 - nltk==3.7 - notebook==6.5.2 - notebook-shim==0.2.2 - numexpr==2.8.4 - numpy==1.23.3 - oauthlib==3.2.2 - overrides==3.1.0 - pandas==1.5.2 - pandocfilters==1.5.0 - pathy==0.6.2 - patsy==0.5.3 - persistent==4.9.1 - pillow==9.2.0 - platformdirs==3.0.0 - plotly==5.13.0 - plotly-geo==1.0.0 - ply==3.11 - pptree==3.1 - preshed==3.0.8 - prometheus-client==0.16.0 - prompt-toolkit==3.0.36 - protobuf==4.21.9 - psycopg2==2.9.5 - py-entitymatching==0.4.0 - py-stringmatching==0.4.2 - py-stringsimjoin==0.3.2 - py4j==0.10.9.7 - pyasn1==0.4.8 - pyasn1-modules==0.2.8 - pycares==4.3.0 - pycparser==2.21 - pydantic==1.10.2 - pyhacrf-datamade==0.2.6 - pylbfgs==0.2.0.14 - pyldavis==3.3.1 - pyprind==2.11.3 - pyproj==3.4.1 - pyqt5==5.15.7 - pyqt5-qt5==5.15.2 - pyqt5-sip==12.11.0 - pyrsistent==0.19.3 - pysocks==1.7.1 - pytextrank==3.2.4 - graphviz - python-igraph==0.10.4 - python-json-logger==2.0.4 - python-slugify==7.0.0 - pytz==2022.2.1 - pywikibot==8.0.0 - pywinpty==2.0.10 - pyyaml==6.0 - pyzmq==25.0.0 - qtconsole==5.4.0 - qtpy==2.3.0 - regex==2022.10.31 - requests==2.28.1 - requests-oauthlib==1.3.1 - retrying==1.3.4 - rfc3339-validator==0.1.4 - rfc3986-validator==0.1.1 - rsa==4.9 - scikit-learn==1.1.2 - scipy==1.9.1 - segtok==1.5.11 - send2trash==1.8.0 - sentencepiece==0.1.95 - shapely==2.0.1 - simplecosine==1.2 - sklearn==0.0 - skops==0.6.0 - 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OpenCritic API extraction requires the Mega Subscription ($50/mo) to function properly. PSQL database must be setup & access credentials input into repo/files/client_id.json alongside the API key. The model learner used in the dashboard must be selected in client_id.json. OpenCritic API T&A Article 3 may subject project to teardown. Currently have written email approval to use the data to, "predict sales for individual games.

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• ZIP Format

Data extracted from HTTP queries to the data sources with some cleaning. It should contain the raw folder for folders for OpenCritic, Steam, and SteamSpy, and the zipped folder must replace the folder of the same name in the repository under repo/files/raw/. This can be done in place of extracting data from the API.

• 135 MB

• ZIP Format

Contains the models folder for skops dumps of hyperparameter-tuned models for hyperparameter tuning, which serve to cache them for re-runs on the tuning script to retrieve scores and explore the models. Replace in repo/files/models. It also contains JSONs of each models' best hyperparameters, which are used to train a new model for the dashboard. The folder for build is placed in repo/dashboard/frontend and is the built webpage. Static goes in repo/dashboard/backend/static, and contains a fitted model for random forest classifier and its test scores.

• 640 KB

• Portable Document Format