Weekly update

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During the past 2 weeks I have: – Been able to program the communication between the Chrome extension and the classifier, with some modification in the project design. Instead of using Native Messaging, I set up a Flask server and … Read More

Weekly Update

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Submitted the CS second draft on Wednesday and waiting for Xunfei’s Feedback. The demo presentation went well without much questions from the audience. On working on making the poster for the presentation on Dec 5.

Weekly update (11/14)

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During the last week I encountered a few problems with my project While working on the demo, I noticed that the classifier is not doing a good job classifying liberal news sites. It classified a few articles on CNN and … Read More

Weekly Update

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Worked on the demo presentation. Experimented with 2 datasets each taking 4 hours of run time. One observation I found is that changing the labels of the fake news changes the accuracy. It was found that detecting reliable news rather … Read More

Weekly update (11/7/18)

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During the past week I was able to: Improved the average accuracy, recall, and F1-score of my MLP classifier to 80% Implemented goose3, a news scraping API to query raw texts from news articles, handled the data, vectorized the sentences … Read More

Weekly Update

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The front end development part for my project is almost complete. The database setup and connection is completed. The integration of backend machine learning model with flask has worked. The flask prediction model has also been linked with the frontend. There … Read More

Weekly update

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I have been reading more recent papers on the topic, and I came across with the paper recently published (Oct 22nd, 2018). The paper is called “Predicting Chinese Stock Market Price Trend Using Machine Learning Approach.”   In summary, they … Read More

Weekly update

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During the past week, I have been working mostly on the Google Chrome extension. I encountered some problems with scanning data from a given website. The extension listener does not seem to process DOM objects correctly and it couldn’t query … Read More

Weekly update

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I reviewed the papers I read for my literature review, and also I collected more papers to read for my topic proposal. Since I would like to focus on the evaluation of existing machine learning predictive models, I do not … Read More

Weekly Progress

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Finished the machine learning pipeline with actual experimentation. Having issues getting Flask setup and have been in touch with the SysAdmins. Halfway through the first draft of the paper. Made new design for the system architecture.

Weekly update

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During the past week I have: – Cleaned up the data, converted it to the CSV file, tried feeding it to the MLP classifier. However, I’m running into some error scaling it before feeding the data to the MLP. I … Read More

Weekly update

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After reading more about literature on stock prediction with sentiment analysis, I came to the conclusion that it is very difficult to obtain text data that is relevant for my research for free. I looked at Twitter streaming API and … Read More

Weekly update

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For the past week, I worked on literature reviews on two topics: stock prediction with natural language processing and stock prediction with machine learning. One of the most important findings is that each researcher used different datasets to predict different … Read More

Weekly update

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For the past week, I did the second reading for the 15 papers for the annotated bibliography and also prepared the presentation for the class. I narrowed down my topics into two: stock prediction with sentiment analysis and stock prediction … Read More

Weekly update (9/23 – 9/29)

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During the past week I have: – Started writing the introduction of my thesis paper – Started implementing the first module of the project (word matrices initialization) – Looked into the IBC corpus data, whose sentences are implemented as a … Read More

Weekly Update (09/19/2018)

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I’ve been researching Voronoi graph regions and their usage in recommendation system. I’m particularly interested in finding open-source implementation of Voronoi graph regions usage. I’ve also been reading and researching FiveThirtyEight’s gerrymandering maps and how they created their maps of … Read More

Weekly update 4

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Met with Andy Moore and talked about projects regarding natural disasters. Realized that many of the ideas were too big for a semester, and started researching in Earthquake Early Warning systems Worked on Quiz 2, and collected papers for each … Read More

Weekly update

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After skimming through 15 papers over three different topics, I am still most interested in the topic of “generate sentiment-based stock trading signals through NLP.” Since last week, I started taking a Coursera course called applied text mining in Python. … Read More

Weekly Update

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For the past week, I did the following: – Found research papers on my topics – Skimmed through several papers and gained the better understandings of the topics – After skimming through papers on my possible three topics, I am … Read More

Weekly Update (9/9 – 9/15)

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For this week, I plan to: Finalize the project timeline Look into how to plug the sample data into the classifier and link this functionality to the Chrome extension Take the Udacity crash course on Supervised learning Set up PyTorch … Read More

Weekly update (9/2 – 9/8)

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In the last week I have: Reached out and had Ajit as my project adviser Contacted the IBC author to request the dataset Started reading about PyTorch and how to set them up Started looking into online crash courses about CNN … Read More

Weekly Update

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I talked with Dave about my senior project ideas as I had a concern that former students have done similar research previously. The followings are some of the takeaways from the discussion: Finding a good niche within a field is … Read More

Weekly Update 2

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Met with Ajit to filter ideas regarding parallel computing, and machine learning. Emailed Andy Moore in Geology to talk about Earthquake and Tsunami predictions. Emailed Charlie for suggestions regarding my Structure From Motion idea. Searched for more specific details on work … Read More

Plan for the week starting 9/2

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For next week, I plan to Set up the environment on my computer for SciKit learn (or potentially PyTorch) Collect data (the IBC) by emailing the authors Read through documentation and familiarize myself with SciKit learn and supervised learning. Reach … Read More

Weekly Update 1

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Looked for three general areas that I want to do my research in, namely: Structure from Motion Disaster prep and management Parallel Computing Searched for some related work that has happened in these areas.

Project ideas

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Idea 1: A web application that lets users test the performance of systematic trading strategies with user selected parameters. The purpose of this application is to let users try out different inputs and test how his/her trading strategy would have … Read More

Project Idea 3

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A Data Science and Machine Learning Project to explore the stock data of a particular stock exchange. The exploration will be focused on observing the repetitive trend in stock markets and relating it to the business cycles. Some questions that can … Read More

Project Idea 2

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A portfolio tracker that keep tracks of investments in stocks in a particular market. Keeping in mind the time limitation, it would be better to focus on small markets for this project. The web-based application will provide different portfolios to … Read More

Project Idea 1

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The project is about creating a software that can determine an optimal value for a company by looking at their balance sheets records in the past to predict future cash flows. Financial analysis methods such as DCF, DDM and FCE … Read More