Natural Language Processing Jobs

Project Title: Development of a Parsing Tool for Industry Applications Project Description: I am looking for a skilled computational linguist or NLP expert to help develop a practical parsing tool that can be applied to real-world NLP applications. The tool should focus on syntactic, semantic, and morphological parsing and be suitable for handling complex language data in various contexts, such as automated language processing systems. This is a hands-on project that involves the design and implementation of a parser using Python. It is not related to any academic assignments or schoolwork. The final product should be adaptable for use in industry-standard NLP tasks. Key Requirements: • Experience in Natural Language Processing (NLP), especially with syntactic and semantic parsing...

Here, I have used a Long Short Term Memory Network (LSTM) for building your model to predict the stock prices of Google. LTSMs are a type of Recurrent Neural Network for learning long-term dependencies. It is commonly used for processing and predicting time-series data. From the image on the top, you can see LSTMs have a chain-like structure. General RNNs have a single neural network layer. LSTMs, on the other hand, have four interacting layers communicating extraordinarily. The model considers various aspects to predict the stock market trends .