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59 changes: 44 additions & 15 deletions README.md
Original file line number Diff line number Diff line change
@@ -1,4 +1,4 @@
## UBR: User Bias Removal in Fine Grained Sentiment Analysis
## [UBR: User Bias Removal in Fine Grained Sentiment Analysis](https://dl.acm.org/doi/10.1145/3152494.3152520)


### Introduction
Expand All @@ -11,6 +11,10 @@

Run "setup.sh" for setting up.

```
bash setup.sh
```

### Testing

Scripts for testing is in three folders.
Expand All @@ -23,29 +27,54 @@ Scripts for testing is in three folders.

cd to appropriate folder and then:

####For getting PV-DBoW features
#### For getting PV-DBoW features

```
python doc2vec.py
```

####For testing various baselines
#### For testing various baselines

```
python baseline.py #User mean,mode etc.

python predict5.py #Always predict 5
````

#### For testing UBR-1 and UBR-2 with LDA features

####For testing UBR-1 and UBR-2 with LDA faetures
```
python lda_implement.py
```

####For testing UBR-1 with tf-idf faetures
#### For testing UBR-1 with tf-idf features
```
python tfidf.py 1
```

####For testing UBR-2 with tf-idf faetures
### For testing UBR-2 with tf-idf faetures
```
python tfidf.py 2

### Authors

- Rahul Kumar Wadbude (IIT Kanpur)(warahul@iitk.ac.in)
- Vivek Gupta (Microsoft Research)(t-vigu@microsoft.com)
- Dheeraj Mekala (IIT Kanpur)(dheerajm@iitk.ac.in)
- Janish Jindal (IIT Kanpur)(janish@iitk.ac.in)
- Harish Karnick (IIT Kanpur)(hk@iitk.ac.in)
```

### Citation

```
@inproceedings{10.1145/3152494.3152520,
author = {Wadbude, Rahul and Gupta, Vivek and Mekala, Dheeraj and Karnick, Harish},
title = {User Bias Removal in Review Score Prediction},
year = {2018},
isbn = {9781450363419},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3152494.3152520},
doi = {10.1145/3152494.3152520},
booktitle = {Proceedings of the ACM India Joint International Conference on Data Science and Management of Data},
pages = {175–179},
numpages = {5},
keywords = {bias removal, score prediction, user modeling},
location = {Goa, India},
series = {CoDS-COMAD ’18}
}


```