We need a Linux-friendly social media and online media toolset ideally in Python3. Toolset has TWO main components. Toolset INPUT must scrape content, perform NLP and sentiment analysis, parsing results into data and useful statistics, classify and contextualize and timeline - and visualize. Toolset OUTPUT must parse extant data into platform-specific output e.g. Twitter tweets, Reddit posts, mainstream/online media comments, Google contributions, etc. Our preference is to use [login to view URL] and [login to view URL] as priority pairing. This can be a milestone based project. See attached spec.
30 freelanceria on tarjonnut keskimäärin %project_bid_stats_avg_sub_26% %project_currencyDetails_sign_sub_27% tähän työhön
Hi there, I have checked the details I have great experience with Data Mining, Machine Learning, Python, Software Architecture, Web Scraping. Please start the chat so we can discuss this job more in detail. Thanks
Hi there, I have checked the details. I have rich experience with Data Mining, Machine Learning, Python, Software Architecture, Web Scraping. Please initiate the chat so we can discuss this job in detail.
Hello How are you? I read attached spec carefully. I can do your project perfectly and shortly. Let's discuss about your project over chat. Thank you
Hi,i'm a data scientist with a BS degree in computer science i will do your task as fast as i can and i will achieve it exactly as you want,don't worry about any thing contact me for discussion
Experimented developer, in Python, and Java. I've did my master thesis based on sentiment analysis, extracting tweets about vaccinations and applied multiple NLP algorithms.