Personal Information
Organization / Workplace
Japan Japan
Occupation
Data Scientist at en-japan
Industry
Technology / Software / Internet
About
Data scientist. Currently, working in Tokyo.
I'm specialized in NLP(Natural Language Processing) with my linguistics background.
For research perspective, My research interest is application of NLP technologies for analysis of novels or folk narratives. The narratives contain a lot of information such as the background when they are told among people, and when/how they occur and how they survive until today. Another research interest is for NLP for Persian language. Persian language is normally written in Arabic characters, however there's a lot of writing styles by person. Moreover, roman transliterated persian style(called Penglish) is also used. Such variety of writing styles are obs...
Tags
python
japanese
nlp
information technology
data
big data
annotation
machine learning
juman
tokenizer
mecab
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Presentations
(8)Likes
(40)深層リカレントニューラルネットワークを用いた日本語述語項構造解析
Hiroki Ouchi
•
7 years ago
深層学習による自然言語処理の研究動向
STAIR Lab, Chiba Institute of Technology
•
7 years ago
知識を紡ぐための言語処理と、そのための言語資源
Koji Matsuda
•
8 years ago
Visualizing Data Using t-SNE
Tomoki Hayashi
•
8 years ago
新規事業・起業を妨げる「ビジネスモデル症候群」とは
Lean Startup Japan LLC
•
8 years ago
ドキュメントを作りたくなってしまう魔法のツールSphinx
Takayuki Shimizukawa
•
13 years ago
「スプラトゥーン」リアルタイム画像解析ツール 「IkaLog」の裏側
Takeshi HASEGAWA
•
8 years ago
実装ディープラーニング
Yurie Oka
•
10 years ago
Deep Learningと他の分類器をRで比べてみよう in Japan.R 2014
Takashi J OZAKI
•
9 years ago
Chainerの使い方と自然言語処理への応用
Seiya Tokui
•
8 years ago
ggvis入門 2015年8月30日 Kobe.R 発表スライド
Hikaru GOTO
•
8 years ago
Coling読み会 2014
ai_06_14
•
9 years ago
PyMCがあれば,ベイズ推定でもう泣いたりなんかしない
Toshihiro Kamishima
•
9 years ago
汎用Web API“SPARQL”でオープンデータ検索
uedayou
•
9 years ago
第4回 AIツール入門講座 Linked Open Data入門
Fumihiro Kato
•
10 years ago
テキストマイニングとNLPビジネス
Hiroshi Ono
•
15 years ago
DynamoDBによるソーシャルゲーム実装 How To
伊藤 祐策
•
11 years ago
特徴ベクトル変換器を作った話 #dogenzakalt
Tokoroten Nakayama
•
9 years ago
2015 03-12 道玄坂LT祭り第2回 Spark DataFrame Introduction
Yu Ishikawa
•
9 years ago
自然言語処理のためのDeep Learning
Yuta Kikuchi
•
10 years ago
スケーラブルなシステムのためのHBaseスキーマ設計 #hcj13w
Cloudera Japan
•
11 years ago
20分でわかるHBase
Sho Shimauchi
•
11 years ago
マーケティングを捨てよ、サポートへ出よう 事例から見るスタートアップ初期におけるユーザー獲得
Takaaki Umada
•
9 years ago
言語モデル入門
Yoshinari Fujinuma
•
10 years ago
「データサイエンティスト・ブーム」後の企業におけるデータ分析者像を探る
Takashi J OZAKI
•
9 years ago
Rによるやさしい統計学第20章「検定力分析によるサンプルサイズの決定」
Takashi J OZAKI
•
10 years ago
チェビシェフの不等式
hoxo_m
•
9 years ago
JSAI's AI Tool Introduction - Deep Learning, Pylearn2 and Torch7
Kotaro Nakayama
•
9 years ago
巨大な表を高速に扱うData.table について
Haruka Ozaki
•
9 years ago
Scala による自然言語処理
Hiroyoshi Komatsu
•
10 years ago
Personal Information
Organization / Workplace
Japan Japan
Occupation
Data Scientist at en-japan
Industry
Technology / Software / Internet
About
Data scientist. Currently, working in Tokyo.
I'm specialized in NLP(Natural Language Processing) with my linguistics background.
For research perspective, My research interest is application of NLP technologies for analysis of novels or folk narratives. The narratives contain a lot of information such as the background when they are told among people, and when/how they occur and how they survive until today. Another research interest is for NLP for Persian language. Persian language is normally written in Arabic characters, however there's a lot of writing styles by person. Moreover, roman transliterated persian style(called Penglish) is also used. Such variety of writing styles are obs...
Tags
python
japanese
nlp
information technology
data
big data
annotation
machine learning
juman
tokenizer
mecab
See more