Skip to content

Navigation Menu

Sign in
Appearance settings

Search code, repositories, users, issues, pull requests...

Provide feedback

We read every piece of feedback, and take your input very seriously.

Saved searches

Use saved searches to filter your results more quickly
Sign up
Appearance settings

Commit 2df2a60

Browse files
added the documentation files.
1 parent edf4e21 commit 2df2a60

File tree

3 files changed

+103
-0
lines changed

3 files changed

+103
-0
lines changed

‎Sentiment Analyser/README.md‎

Lines changed: 28 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,28 @@
1+
# Sentiment Analyser
2+
3+
This is a sentiment analyser that takes in a sentence and returns the sentiment of the sentence.
4+
It gives rating to the emotions present in the sentence, from 0 to 1.
5+
It uses NLP and ML algroithms to do so.
6+
This is trained on word2vec dataset using IMDB movie reviews.
7+
And the test model is based on RNN.
8+
9+
10+
11+
## Setup instructions
12+
- Install python 3.6 or above
13+
- Install the required packages using the following command
14+
```bash
15+
pip install -r requirements.txt
16+
```
17+
- First execute the word2vec.ipynb file to train the model
18+
- Then execute the RNN(w2v).ipynb file to test the model
19+
- Change the epochs batch size based on your system configuration and the accuracy you want.
20+
- It will then create a csv file with the sentiment of the sentence.
21+
22+
## Output
23+
Check the screenshot in this folder for the output.
24+
25+
## Author(s)
26+
27+
- [Aditya Jethani](https://github.com/okaditya84)
28+
72.4 KB
Loading[フレーム]

‎Sentiment Analyser/requirements.txt‎

Lines changed: 75 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,75 @@
1+
absl-py==1.4.0
2+
asttokens==2.2.1
3+
astunparse==1.6.3
4+
backcall==0.2.0
5+
cachetools==5.3.0
6+
certifi==2022年12月7日
7+
charset-normalizer==3.1.0
8+
colorama==0.4.6
9+
comm==0.1.2
10+
debugpy==1.6.6
11+
decorator==5.1.1
12+
executing==1.2.0
13+
flatbuffers==23.3.3
14+
gast==0.4.0
15+
gensim==4.3.1
16+
google-auth==2.16.2
17+
google-auth-oauthlib==0.4.6
18+
google-pasta==0.2.0
19+
grpcio==1.51.3
20+
h5py==3.8.0
21+
idna==3.4
22+
ipykernel==6.21.3
23+
ipython==8.11.0
24+
jax==0.4.6
25+
jedi==0.18.2
26+
jupyter_client==8.0.3
27+
jupyter_core==5.3.0
28+
keras==2.12.0
29+
libclang==15.0.6.1
30+
Markdown==3.4.1
31+
MarkupSafe==2.1.2
32+
matplotlib-inline==0.1.6
33+
nest-asyncio==1.5.6
34+
numpy==1.23.5
35+
oauthlib==3.2.2
36+
opt-einsum==3.3.0
37+
packaging==23.0
38+
pandas==1.5.3
39+
parso==0.8.3
40+
pickleshare==0.7.5
41+
platformdirs==3.1.1
42+
prompt-toolkit==3.0.38
43+
protobuf==4.22.1
44+
psutil==5.9.4
45+
pure-eval==0.2.2
46+
pyasn1==0.4.8
47+
pyasn1-modules==0.2.8
48+
Pygments==2.14.0
49+
python-dateutil==2.8.2
50+
pytz==2022年7月1日
51+
pywin32==305
52+
pyzmq==25.0.1
53+
requests==2.28.2
54+
requests-oauthlib==1.3.1
55+
rsa==4.9
56+
scipy==1.10.1
57+
six==1.16.0
58+
smart-open==6.3.0
59+
stack-data==0.6.2
60+
tensorboard==2.12.0
61+
tensorboard-data-server==0.7.0
62+
tensorboard-plugin-wit==1.8.1
63+
tensorflow==2.12.0rc1
64+
tensorflow-estimator==2.12.0
65+
tensorflow-intel==2.12.0rc1
66+
tensorflow-io-gcs-filesystem==0.31.0
67+
termcolor==2.2.0
68+
tornado==6.2
69+
traitlets==5.9.0
70+
typing_extensions==4.5.0
71+
urllib3==1.26.15
72+
wcwidth==0.2.6
73+
Werkzeug==2.2.3
74+
wincertstore==0.2
75+
wrapt==1.14.1

0 commit comments

Comments
(0)

AltStyle によって変換されたページ (->オリジナル) /