Update README.md

README.md

@@ -12,7 +12,7 @@ An earnings call is a teleconference, or webcast, in which a public company disc
 
 Example of Earning call Transcipt: https://www.fool.com/earnings/call-transcripts/2022/04/29/apple-aapl-q2-2022-earnings-call-transcript
 
-Scraped 10 years of earning call transcript data for 10 companies like Apple, google, microsoft, Nvidia, Amazon, Intel, Cisco etc. Annotate the data in various categories of sentences like Negative, Positive, Litigious, Constraining and Uncertainity
+Scraped 10 years of earning call transcript data for 10 companies like Apple, google, microsoft, Nvidia, Amazon, Intel, Cisco etc. Annotate the data in various categories of sentences like Negative, Positive, Litigious, Constraining and Uncertainty
 
 And then used Loughran-McDonald sentiment lexicon and Use FinancialPhraseBank [Malo, P., Sinha, A., Korhonen, P., Wallenius, J., & Takala, P. (2014). Good debt or bad debt: Detecting semantic orientations in economic texts. Journal of the Association for Information Science and Technology, 65(4), 782-796.] for data annotation.
 
@@ -20,6 +20,10 @@ And then used Loughran-McDonald sentiment lexicon and Use FinancialPhraseBank [M
 
 RoBERTa builds on BERT’s language masking strategy and modifies key hyperparameters in BERT, including removing BERT’s next-sentence pretraining objective, and training with much larger mini-batches and learning rates. RoBERTa was also trained on an order of magnitude more data than BERT, for a longer amount of time. This allows RoBERTa representations to generalize even better to downstream tasks compared to BERT.
 
+## What is Roberta-Earning-Call-Transcript-Classification?
+
+Roberta-Earning-Call-Transcript-Classification is a Multi-Label Classification Model trained with Annotated earning call transcript data. This model could be very helpful in finding Negative, Positive, Litigious, Constraining and Uncertain thing in the sentence. This could be really helpful in analyzing Profit warning of a company.
+
 ## Hyperparameters
 
 | Parameter         |      |