FarsiYar Text-Mining Group try to collect best resources for opinion mining in the Persian language.

Please participate in its development.

• 2020-DeepSentiPers: Deep Learning Models Plus Data Augmentation Methods in Persian Sentiment Analysis (codes, talk)

• 2019-Sentiment Analysis Challenges in Persian Language
• 2018-The Impact of Sentiment Features on the Sentiment Polarity Classification in Persian Reviews

• "PersianSWN" : (2017) HesNegar: Persian Sentiment WordNet
• "PerSent" : (2016) PerSent: A Freely Available Persian Sentiment Lexicon
• "LexiPers V1.0" : (2015) LexiPers: An ontology based sentiment lexicon for Persian
• "Lexicon-based Sentiment Analysis Data" : (2015) Lexicon-based Sentiment Analysis for Persian Text
• "UTIIS Sentiment GoldData" : (2014) Semi-supervised word polarity identification in resource-lean languages

• "SentiPers V1.0" : (2018) SentiPers: a sentiment analysis corpus for Persian
• "SentiFars" : (2019) SentiFars: A Persian Polarity Lexicon for Sentiment Analysis

You can download csv version of this resource from : "PersianSWN.csv".

Each line (entry) has 5 fields :

1. Synset id (based on Princeton WordNet standard format): IdNumber-PosTag e.g. 00001740-a
2. Persian word.
3. Confidence value (based on FerdowsNet WordNet).
4. Positivity value.
5. Negativity value.

Sample data:

00001740-a	توانا	1.00	0.125	0.000 00051373-a	توانا	0.45	0.375	0.250 00001740-a	قادر	0.24	0.125	0.000 00002098-a	عاجز	1.00	0.000	0.750 00051696-a	عاجز	0.18	0.000	0.500 00002098-a	ناتوان	0.75	0.000	0.750 00051696-a	ناتوان	0.58	0.000	0.500 

For more information, please visit our paper in the Signal and Data Processing Journal

سرویس تحلیل متن (متن کاوی) فارسی‌یار