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Text-Classification
Showing all 2 resultsSorted by popularity
- Software Projects
Bank Statement Analysis and Transaction Category Prediction
Bank statement analysis involves summarizing cash inflows and outflows from statements and providing an overview of financial health of individuals. Businesses and NBFCs consider the financial history of borrowers during credit assessments and bank statement analysis tool is being used by various industries for faster processing times, efficiency, and document processing purposes. The objective of this project is to study the cashflows in terms of debits and credits for the retail customers and predict the transaction categories based on mode of transactions and counter parties etc. Various Machine Learning algorithms are used to classify the transaction categories using train data and predict the transaction categories using test data. It also recommends the algorithm that gives the best accuracy score.
SKU: Bank Statement Analysis and Transaction Category Prediction - Software Projects
Neural Machine Translation
The objective of this project is to convert Hindi sentence to English sentence for non-native speakers using Neural Machine Translation. The dataset is preprocessed by removing punctuations and all duplicate values as well as all quotes, numbers and white spaces that are present in text data. Then English and Hindi vocabulary is prepared by splitting sentences into words. Encoder Decoder architecture is used to build the model wherein decoder is an LSTM model with embedding layer, sequence to sequence layer, attention mechanism and dense layer. The model is appropriately trained with the train data and saved the model weights, which are loaded while inferencing the test data for making the prediction. The predicted English translation will be obtained from decoded sequence function.
SKU: n/a
