Update README.md

README.md

@@ -1,22 +1,16 @@
 ---
-language: "en"
+language: en
 tags:
 - financial-sentiment-analysis
 - sentiment-analysis
 widget:
-- text: "Stocks rallied and the British pound gained."
+- text: Stocks rallied and the British pound gained.
+license: apache-2.0
+pipeline_tag: text-classification
 ---
 
 FinBERT is a pre-trained NLP model to analyze sentiment of financial text. It is built by further training the BERT language model in the finance domain, using a large financial corpus and thereby fine-tuning it for financial sentiment classification. [Financial PhraseBank](https://www.researchgate.net/publication/251231107_Good_Debt_or_Bad_Debt_Detecting_Semantic_Orientations_in_Economic_Texts) by Malo et al. (2014) is used for fine-tuning. For more details, please see the paper [FinBERT: Financial Sentiment Analysis with Pre-trained Language Models](https://arxiv.org/abs/1908.10063) and our related [blog post](https://medium.com/prosus-ai-tech-blog/finbert-financial-sentiment-analysis-with-bert-b277a3607101) on Medium.
 
 The model will give softmax outputs for three labels: positive, negative or neutral.
 
----
-
-About Prosus
-
-Prosus is a global consumer internet group and one of the largest technology investors in the world. Operating and investing globally in markets with long-term growth potential, Prosus builds leading consumer internet companies that empower people and enrich communities. For more information, please visit www.prosus.com.
-
-Contact information
-
-Please contact Dogu Araci dogu.araci[at]prosus[dot]com and Zulkuf Genc zulkuf.genc[at]prosus[dot]com about any FinBERT related issues and questions.
+---