Hello! I am new at Kaggle. Although I have some basic knowledge on machine learning, natural language processing is totally new to me. Could anyone suggest me which tutorial or any resource to look into before I dive into this competition? Thank you so much in advance!
", "messages": [ { "id": "439794", "postDate": "12/16/2018 11:26:25", "content": "Hello! I am new at Kaggle. Although I have some basic knowledge on machine learning, natural language processing is totally new to me. Could anyone suggest me which tutorial or any resource to look into before I dive into this competition? Thank you so much in advance!
", "rawMarkdown": "Hello! I am new at Kaggle. Although I have some basic knowledge on machine learning, natural language processing is totally new to me. Could anyone suggest me which tutorial or any resource to look into before I dive into this competition? Thank you so much in advance!", "votes": null }, { "id": "439816", "postDate": "12/16/2018 12:39:35", "content": "Try this - https://towardsdatascience.com/introduction-to-nlp-5bff2b2a7170
", "rawMarkdown": "Try this - https://towardsdatascience.com/introduction-to-nlp-5bff2b2a7170", "votes": null }, { "id": "440208", "postDate": "12/17/2018 08:09:08", "content": "If you are looking for something comprehensive from theory side, Stanford has great videos online https://www.youtube.com/playlist?list=PL3FW7Lu3i5Jsnh1rnUwq_TcylNr7EkRe6 (I watched an older playlist, not sure if anything major changed in 2017).
\n\nFor practical examples, just checking out Kernels from other users usually helps, you can even look back in time to find older text classification competitions and check Kernels and Discussions there.
", "rawMarkdown": "If you are looking for something comprehensive from theory side, Stanford has great videos online https://www.youtube.com/playlist?list=PL3FW7Lu3i5Jsnh1rnUwq_TcylNr7EkRe6 (I watched an older playlist, not sure if anything major changed in 2017).\n\nFor practical examples, just checking out Kernels from other users usually helps, you can even look back in time to find older text classification competitions and check Kernels and Discussions there.", "votes": null }, { "id": "440492", "postDate": "12/17/2018 16:03:16", "content": "Hi, this tutorials are great\nTensorflow Tutorials
", "rawMarkdown": "Hi, this tutorials are great\n[Tensorflow Tutorials][1]\n\n\n [1]: https://www.youtube.com/watch?v=er8RQZoX3yk&list=PL9Hr9sNUjfsmEu1ZniY0XpHSzl5uihcXZ", "votes": null }, { "id": "443838", "postDate": "12/22/2018 14:35:10", "content": "Thank you for thoughtful advice! I actually started watching the lecture sequence from Stanford too. I will look into other examples from past competitions later on.
", "rawMarkdown": "Thank you for thoughtful advice! I actually started watching the lecture sequence from Stanford too. I will look into other examples from past competitions later on.", "votes": null }, { "id": "444127", "postDate": "12/23/2018 09:26:13", "content": "Hey Takashi @yabutaka! I've found an amazing resource by sentdex, I love the channel, it's just the basics of NLP, but I guess that you'll find very usefull, let me know
\n\nhttps://www.youtube.com/watch?v=FLZvOKSCkxY&list=PLQVvvaa0QuDf2JswnfiGkliBInZnIC4HL
", "rawMarkdown": "Hey Takashi @yabutaka! I've found an amazing resource by sentdex, I love the channel, it's just the basics of NLP, but I guess that you'll find very usefull, let me know\n\nhttps://www.youtube.com/watch?v=FLZvOKSCkxY&list=PLQVvvaa0QuDf2JswnfiGkliBInZnIC4HL", "votes": null }, { "id": "445055", "postDate": "12/25/2018 14:04:26", "content": "Thanks a lot for sharing the playlist! I will definately look into it.
", "rawMarkdown": "Thanks a lot for sharing the playlist! I will definately look into it.", "votes": null } ], "comments": [ { "id": 439816, "author_name": "hespozel", "author_url": "", "post_date": "12/16/2018 12:39:35", "content": "Try this - https://towardsdatascience.com/introduction-to-nlp-5bff2b2a7170
", "votes": null, "replies": [] }, { "id": 440208, "author_name": "weenkus", "author_url": "", "post_date": "12/17/2018 08:09:08", "content": "If you are looking for something comprehensive from theory side, Stanford has great videos online https://www.youtube.com/playlist?list=PL3FW7Lu3i5Jsnh1rnUwq_TcylNr7EkRe6 (I watched an older playlist, not sure if anything major changed in 2017).
\n\nFor practical examples, just checking out Kernels from other users usually helps, you can even look back in time to find older text classification competitions and check Kernels and Discussions there.
", "votes": null, "replies": [ { "id": 443838, "author_name": "yabutaka", "author_url": "", "post_date": "12/22/2018 14:35:10", "content": "Thank you for thoughtful advice! I actually started watching the lecture sequence from Stanford too. I will look into other examples from past competitions later on.
", "votes": null, "replies": [] } ] }, { "id": 440492, "author_name": "jhonatansilva31415", "author_url": "", "post_date": "12/17/2018 16:03:16", "content": "Hi, this tutorials are great\nTensorflow Tutorials
", "votes": null, "replies": [] }, { "id": 444127, "author_name": "jhonatansilva31415", "author_url": "", "post_date": "12/23/2018 09:26:13", "content": "Hey Takashi @yabutaka! I've found an amazing resource by sentdex, I love the channel, it's just the basics of NLP, but I guess that you'll find very usefull, let me know
\n\nhttps://www.youtube.com/watch?v=FLZvOKSCkxY&list=PLQVvvaa0QuDf2JswnfiGkliBInZnIC4HL
", "votes": null, "replies": [ { "id": 445055, "author_name": "yabutaka", "author_url": "", "post_date": "12/25/2018 14:04:26", "content": "Thanks a lot for sharing the playlist! I will definately look into it.
", "votes": null, "replies": [] } ] } ], "raw_markdown_by_id": { "439794": "Hello! I am new at Kaggle. Although I have some basic knowledge on machine learning, natural language processing is totally new to me. Could anyone suggest me which tutorial or any resource to look into before I dive into this competition? Thank you so much in advance!", "439816": "Try this - https://towardsdatascience.com/introduction-to-nlp-5bff2b2a7170", "440208": "If you are looking for something comprehensive from theory side, Stanford has great videos online https://www.youtube.com/playlist?list=PL3FW7Lu3i5Jsnh1rnUwq_TcylNr7EkRe6 (I watched an older playlist, not sure if anything major changed in 2017).\n\nFor practical examples, just checking out Kernels from other users usually helps, you can even look back in time to find older text classification competitions and check Kernels and Discussions there.", "440492": "Hi, this tutorials are great\n[Tensorflow Tutorials][1]\n\n\n [1]: https://www.youtube.com/watch?v=er8RQZoX3yk&list=PL9Hr9sNUjfsmEu1ZniY0XpHSzl5uihcXZ", "443838": "Thank you for thoughtful advice! I actually started watching the lecture sequence from Stanford too. I will look into other examples from past competitions later on.", "444127": "Hey Takashi @yabutaka! I've found an amazing resource by sentdex, I love the channel, it's just the basics of NLP, but I guess that you'll find very usefull, let me know\n\nhttps://www.youtube.com/watch?v=FLZvOKSCkxY&list=PLQVvvaa0QuDf2JswnfiGkliBInZnIC4HL", "445055": "Thanks a lot for sharing the playlist! I will definately look into it." }, "source": "meta" }