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Sentiment Analyser/README.md

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# Sentiment Analyser
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This is a sentiment analyser that takes in a sentence and returns the sentiment of the sentence.
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It gives rating to the emotions present in the sentence, from 0 to 1.
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It uses NLP and ML algroithms to do so.
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This is trained on word2vec dataset using IMDB movie reviews.
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And the test model is based on RNN.
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## Setup instructions
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- Install python 3.6 or above
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- Install the required packages using the following command
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```bash
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pip install -r requirements.txt
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```
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- First execute the word2vec.ipynb file to train the model
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- Then execute the RNN(w2v).ipynb file to test the model
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- Change the epochs batch size based on your system configuration and the accuracy you want.
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- It will then create a csv file with the sentiment of the sentence.
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## Output
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Check the screenshot in this folder for the output.
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## Author(s)
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- [Aditya Jethani](https://github.com/okaditya84)
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absl-py==1.4.0
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asttokens==2.2.1
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astunparse==1.6.3
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backcall==0.2.0
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cachetools==5.3.0
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certifi==2022.12.7
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charset-normalizer==3.1.0
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colorama==0.4.6
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comm==0.1.2
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debugpy==1.6.6
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decorator==5.1.1
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executing==1.2.0
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flatbuffers==23.3.3
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gast==0.4.0
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gensim==4.3.1
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google-auth==2.16.2
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google-auth-oauthlib==0.4.6
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google-pasta==0.2.0
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grpcio==1.51.3
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h5py==3.8.0
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idna==3.4
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ipykernel==6.21.3
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ipython==8.11.0
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jax==0.4.6
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jedi==0.18.2
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jupyter_client==8.0.3
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jupyter_core==5.3.0
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keras==2.12.0
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libclang==15.0.6.1
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Markdown==3.4.1
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MarkupSafe==2.1.2
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matplotlib-inline==0.1.6
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nest-asyncio==1.5.6
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numpy==1.23.5
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oauthlib==3.2.2
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opt-einsum==3.3.0
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packaging==23.0
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pandas==1.5.3
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parso==0.8.3
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pickleshare==0.7.5
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platformdirs==3.1.1
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prompt-toolkit==3.0.38
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protobuf==4.22.1
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psutil==5.9.4
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pure-eval==0.2.2
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pyasn1==0.4.8
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pyasn1-modules==0.2.8
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Pygments==2.14.0
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python-dateutil==2.8.2
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pytz==2022.7.1
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pywin32==305
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pyzmq==25.0.1
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requests==2.28.2
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requests-oauthlib==1.3.1
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rsa==4.9
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scipy==1.10.1
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six==1.16.0
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smart-open==6.3.0
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stack-data==0.6.2
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tensorboard==2.12.0
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tensorboard-data-server==0.7.0
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tensorboard-plugin-wit==1.8.1
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tensorflow==2.12.0rc1
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tensorflow-estimator==2.12.0
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tensorflow-intel==2.12.0rc1
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tensorflow-io-gcs-filesystem==0.31.0
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termcolor==2.2.0
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tornado==6.2
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traitlets==5.9.0
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typing_extensions==4.5.0
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urllib3==1.26.15
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wcwidth==0.2.6
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Werkzeug==2.2.3
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wincertstore==0.2
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wrapt==1.14.1

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