{"id":50745,"date":"2021-06-18T00:00:00","date_gmt":"2021-06-18T07:00:00","guid":{"rendered":"https:\/\/griddb-linux-hte8hndjf8cka8ht.westus-01.azurewebsites.net\/%e6%9c%aa%e5%88%86%e9%a1%9e\/twitter-sentiment-analysis-with-griddb-part-1\/"},"modified":"2025-11-14T07:54:39","modified_gmt":"2025-11-14T15:54:39","slug":"twitter-sentiment-analysis-with-griddb-part-1","status":"publish","type":"post","link":"https:\/\/www.griddb.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/twitter-sentiment-analysis-with-griddb-part-1\/","title":{"rendered":"GridDB\u306b\u3088\u308bTwitter\u611f\u60c5\u5206\u6790 – Part 1"},"content":{"rendered":"

\u306f\u3058\u3081\u306b<\/strong><\/p>\n

\u7279\u5b9a\u306e\u30c8\u30d4\u30c3\u30af\u306b\u5bfe\u3059\u308b\u30e6\u30fc\u30b6\u30fc\u306e\u610f\u898b\u3092\u8ffd\u8de1\u3059\u308b\u305f\u3081\u306b\u3001\u65e5\u3005\u751f\u6210\u3055\u308c\u308b\u81a8\u5927\u306a\u30c6\u30ad\u30b9\u30c8\u30c7\u30fc\u30bf\u306b\u304a\u3051\u308b\u611f\u60c5\u3092\u628a\u63e1\u3059\u308b\u5fc5\u8981\u304c\u751f\u3058\u308b\u3053\u3068\u304c\u3042\u308a\u307e\u3059\u3002\u307e\u305f\u3001\u7279\u5b9a\u306e\u5730\u57df\u306e\u611f\u60c5\u306e\u5024\u3092\u53ef\u8996\u5316\u3059\u308b\u3053\u3068\u3067\u3001\u4f01\u696d\u306e\u610f\u601d\u6c7a\u5b9a\u306b\u5f79\u7acb\u3066\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u3053\u306e\u30d6\u30ed\u30b0\u3067\u306f\u3001\u30c4\u30a4\u30fc\u30c8\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092GridDB\u306b\u30ed\u30fc\u30c9\u3057\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u611f\u60c5\u306e\u5206\u6790\u3092\u884c\u3044\u3001matplotlib\u3092\u4f7f\u3063\u3066\u53ef\u8996\u5316\u3059\u308b\u65b9\u6cd5\u3092\u7d39\u4ecb\u3057\u307e\u3059\u3002<\/p>\n

\u524d\u63d0\u6761\u4ef6<\/strong><\/p>\n

GridDB\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u3068python3\u3001matplotlib\u3001pandas\u3092\u7528\u3044\u3066\u3001\u611f\u60c5\u306e\u8a08\u7b97\u3068\u8996\u899a\u5316\u3092\u884c\u3044\u307e\u3059\u3002\u30c4\u30a4\u30fc\u30c8\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306f\u30012013\u5e74\u304b\u30892018\u5e74\u307e\u3067\u306e\u30e9\u30ca\u30d7\u30e9\u30b6\u306b\u95a2\u3059\u308b\u30c4\u30a4\u30fc\u30c8\u3092\u30a6\u30a7\u30d6\u30b9\u30af\u30ec\u30a4\u30d4\u30f3\u30b0\u3057\u3066\u5f97\u3089\u308c\u305f\u3082\u306e\u3067\u3059\u3002<\/p>\n

\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u30fb\u30b9\u30ad\u30fc\u30de<\/strong><\/p>\n

2013\u5e74\u3001\u30d0\u30f3\u30b0\u30e9\u30c7\u30b7\u30e5\u3067\u767a\u751f\u3057\u305f\u30e9\u30ca\u30d7\u30e9\u30b6\u30d3\u30eb\u306e\u5d29\u58ca\u306b\u3088\u308a\u30011100\u4eba\u4ee5\u4e0a\u306e\u30d5\u30a1\u30c3\u30b7\u30e7\u30f3\u95a2\u4fc2\u8005\u304c\u4ea1\u304f\u306a\u308a\u3001ZARA\u3001H&M\u3001Gap\u3001Benetton\u306a\u3069\u306e\u5927\u624b\u30d5\u30a1\u30c3\u30b7\u30e7\u30f3\u30d6\u30e9\u30f3\u30c9\u306e\u30a4\u30e1\u30fc\u30b8\u304c\u60aa\u5316\u3057\u307e\u3057\u305f\u3002\u3053\u308c\u3089\u306e\u30d5\u30a1\u30c3\u30b7\u30e7\u30f3\u30d6\u30e9\u30f3\u30c9\u306b\u5bfe\u3057\u3066\u6d88\u8cbb\u8005\u304c\u3069\u306e\u3088\u3046\u306a\u53cd\u5fdc\u3092\u793a\u3057\u305f\u306e\u304b\u3092\u8abf\u3079\u308b\u305f\u3081\u306b\u30012013\u5e74\u304b\u30892018\u5e74\u306b\u304b\u3051\u3066\u767a\u4fe1\u3055\u308c\u305f\u30e9\u30ca\u30d7\u30e9\u30b6\u306b\u95a2\u3059\u308b\u30c4\u30a4\u30fc\u30c8\u306b\u5bfe\u3057\u3066\u611f\u60c5\u5206\u6790\u3092\u884c\u3044\u307e\u3059\u3002GridDB\u30b3\u30f3\u30c6\u30ca\u3067\u4f7f\u7528\u3059\u308b\u30a8\u30af\u30bb\u30eb\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u30d5\u30a1\u30a4\u30eb\u306e\u5c5e\u6027\u306f\u4ee5\u4e0b\u306e\u3088\u3046\u306b\u8a2d\u5b9a\u3057\u307e\u3059\u3002<\/p>\n\n\n\n\n\n\n\n\n\n
\n Field Name\n <\/th>\n\n Data Type(GridDB)\n <\/th>\n\n Notes\n <\/th>\n<\/tr>\n<\/thead>\n
\n Serial No\n <\/td>\n\n INTEGER\n <\/td>\n\n <\/td>\n<\/tr>\n
\n Screen Name\n <\/td>\n\n STRING\n <\/td>\n\n Twitter Author Name\n <\/td>\n<\/tr>\n
\n Twitter ID\n <\/td>\n\n STRING\n <\/td>\n\n Twitter handle\n <\/td>\n<\/tr>\n
\n Tweet\n <\/td>\n\n STRING\n <\/td>\n\n Tweet text\n <\/td>\n<\/tr>\n
\n Date\n <\/td>\n\n STRING\n <\/td>\n\n <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u30c7\u30fc\u30bf\u3092\u62bd\u51fa\u3059\u308b<\/strong><\/p>\n

\u30a8\u30af\u30bb\u30eb\u30d5\u30a1\u30a4\u30eb\uff08.xlsx\uff09\u3092\u8aad\u307f\u8fbc\u3093\u3067\u5404\u884c\u3092\u7e70\u308a\u8fd4\u3057\u51e6\u7406\u3057\u3001pandas\u3092\u4f7f\u3063\u3066\u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u306b\u683c\u7d0d\u3057\u307e\u3059\u3002\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u30a8\u30af\u30bb\u30eb\u30d5\u30a1\u30a4\u30eb\u306b\u306f\u8907\u6570\u306e\u30b7\u30fc\u30c8\u304c\u542b\u307e\u308c\u3066\u3044\u308b\u306e\u3067\u3001\u5404\u30b7\u30fc\u30c8\u3092\u7e70\u308a\u8fd4\u3057\u51e6\u7406\u3059\u308b\u5fc5\u8981\u304c\u3042\u308b\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002\u4ee5\u4e0b\u306f\u3001pandas\u3092\u4f7f\u3063\u3066\u30b5\u30f3\u30d7\u30eb\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u8aad\u307f\u8fbc\u3080\u305f\u3081\u306e\u30b3\u30fc\u30c9\u30b9\u30cb\u30da\u30c3\u30c8\u3067\u3059\u3002<\/p>\n

\n
import pandas as pd\nimport xlrd\n\nlist_sheetnames = pd.ExcelFile(\"sample_dataset.xls\").sheet_names\ntotal_num_sheets = len(list_sheetnames)\n\nfor i in range(total_num_sheets):\n    sheet_read = pd.read_excel(\"sample_dataset.xls\", list_sheetnames[i])\n    tweet_data_df = pd.DataFrame(sheet_read)\n    print(tweet_data_df[:5])<\/code><\/pre>\n<\/div>\n
\u3055\u3089\u306b\u3001\u30b5\u30f3\u30d7\u30eb\u306e\u30a8\u30af\u30bb\u30eb\u30d5\u30a1\u30a4\u30eb\u306e\u3059\u3079\u3066\u306e\u5217\u3092\u53d6\u5f97\u3057\u3001\u30ea\u30b9\u30c8\u306e\u5f62\u3067\u4fdd\u5b58\u3057\u307e\u3059\u3002<\/p>\n
\n
tweets_list = sheet_read[\"Tweet\"].values.tolist()\ntweet_date_list = sheet_read[\"Date\"].values.tolist()\ntweet_author_names_list = sheet_read[\"Screen Name\"].values.tolist()\ntweet_author_handle_list = sheet_read[\"Twitter Id\"].values.tolist()\nprint(tweet_author_handle_list[:5])<\/code><\/pre>\n<\/div>\n
\u30b3\u30fc\u30c9\u30b9\u30cb\u30da\u30c3\u30c8\u306e\u51fa\u529b\u306f\u6b21\u306e\u3088\u3046\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n
\n
\/Users\/vj\/PycharmProjects\/sentiment_analysis_blogs\/venv\/bin\/python \/Users\/vj\/PycharmProjects\/sentiment_analysis_blogs\/main.py\n['VicUnions', 'ituc', 'shopjanery', 'EthicalBrandMkt', 'CattyDerry']\n['Vic Trades Hallu200fxa0', 'ITUCu200fxa0', 'Jane Pearsonu200fxa0', 'Ethical Brand Marketingu200fxa0', 'CATTY DERRYu200fxa0']\n\nProcess finished with exit code 0<\/code><\/pre>\n<\/div>\n
\u6b21\u306e\u30b9\u30c6\u30c3\u30d7\u3067\u306f\u3001\u611f\u60c5\u5206\u6790\u3092\u52b9\u679c\u7684\u306b\u5b9f\u884c\u3067\u304d\u308b\u3088\u3046\u306b\u3001\u30c7\u30fc\u30bf\u306e\u30af\u30ea\u30fc\u30cb\u30f3\u30b0\u3068\u524d\u51e6\u7406\u3092\u884c\u3044\u307e\u3059\u3002\u30bb\u30f3\u30c1\u30e1\u30f3\u30c8\u5206\u6790\u3092\u52b9\u679c\u7684\u306b\u884c\u3046\u305f\u3081\u306b\u306f\u3001\u30ea\u30f3\u30af\u3084\u7279\u6b8a\u6587\u5b57\u3092\u524a\u9664\u3057\u3066\u30c4\u30a4\u30fc\u30c8\u30c6\u30ad\u30b9\u30c8\u3092\u30af\u30ea\u30fc\u30f3\u30a2\u30c3\u30d7\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n
\n
# a function to clean the tweets using regular expression\ndef clean_tweet(tweet):\n    '''\n    Utility function to clean the text in a tweet by removing\n    links and special characters using regex.\n    '''\n    return ' '.join(re.sub(\"(@[A-Za-z0-9]+)|([^0-9A-Za-z t])|(w+:\/\/S+)\", \" \", tweet).split())<\/code><\/pre>\n<\/div>\n
** GridDB\u30b3\u30f3\u30c6\u30ca\u306b\u30c7\u30fc\u30bf\u3092\u633f\u5165\u3059\u308b**<\/p>\n
\u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u306b\u683c\u7d0d\u3055\u308c\u305f\u30c7\u30fc\u30bf\u3092\u3001put\u307e\u305f\u306fmulti-put\u30e1\u30bd\u30c3\u30c9\u3092\u4f7f\u7528\u3057\u3066GridDB\u30b3\u30f3\u30c6\u30ca\u306b\u30d5\u30a3\u30fc\u30c9\u3057\u307e\u3059\u3002\u30c7\u30fc\u30bf\u3092\u683c\u7d0d\u3059\u308b\u305f\u3081\u306eGridDB\u30b3\u30f3\u30c6\u30ca\u3092\u4f5c\u6210\u3057\u3001\u5404\u30b3\u30f3\u30c6\u30ca\u306b\u306f\u30b5\u30f3\u30d7\u30eb\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u5bfe\u5fdc\u3059\u308b\u30b7\u30fc\u30c8\u540d\u306e\u30c7\u30fc\u30bf\u3092\u683c\u7d0d\u3057\u307e\u3059\u3002<\/p>\n
\n
factory = griddb.StoreFactory.get_instance()\n\n# Get GridStore object\n# Provide the necessary arguments\ngridstore = factory.get_store(\n    host=argv[1],\n    port=int(argv[2]),\n    cluster_name=argv[3],\n    username=argv[4],\n    password=argv[5]\n)\n\ncurr_sheet_griddb_container = curr_sheet\n\n# create collection for the tweet data in the sheet\ntweet_data_container_info = griddb.ContainerInfo(circuits_container,\n                                                [[\"sno\", griddb.Type.INTEGER],\n                                                    [\"twitter_name\", griddb.Type.STRING],\n                                                    [\"twitter_id\", griddb.Type.STRING],\n                                                    [\"tweet\", griddb.Type.STRING],\n                                                    [\"date\", griddb.Type.STRING]],\n                                                griddb.ContainerType.COLLECTION, True)\n\ntweets_columns = gridstore.put_container(tweet_data_container_info)<\/code><\/pre>\n<\/div>\n
\u6b21\u306e\u30b9\u30c6\u30c3\u30d7\u3067\u306f\u3001put_rows\u95a2\u6570\u3092\u4f7f\u3063\u3066\u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u3092\u884c\u306b\u633f\u5165\u3057\u307e\u3059\u3002<\/p>\n
\n
# Put rows\n# Pass the data frames as param\ntweets_columns.put_rows(tweet_data_df)<\/code><\/pre>\n<\/div>\n
\u30c7\u30fc\u30bf\u3092\u524d\u51e6\u7406\u3057\u305f\u5f8c\u3001\u4e0e\u3048\u3089\u308c\u305f\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u30b9\u30ad\u30fc\u30de\u306eGridDB\u30b3\u30ec\u30af\u30b7\u30e7\u30f3\u306b\u30c7\u30fc\u30bf\u3092\u633f\u5165\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3057\u305f\u3002<\/p>\n
\u30b3\u30f3\u30c6\u30ca\u304b\u3089\u30c7\u30fc\u30bf\u3092\u53d6\u5f97\u3059\u308b<\/strong><\/p>\n
get_container\u30e1\u30bd\u30c3\u30c9\u3092\u4f7f\u3063\u3066\u30c7\u30fc\u30bf\u3092\u53d6\u5f97\u3057\u3001\u305d\u306e\u30b3\u30ec\u30af\u30b7\u30e7\u30f3\u3092\u7167\u4f1a\u3057\u3066\u30c7\u30fc\u30bf\u3092\u62bd\u51fa\u3057\u307e\u3059\u3002<\/p>\n
\n
# Define the container names\ntweet_dataaset_container = excel_sheet_name\n\n# Get the containers\ntweet_data = gridstore.get_container(tweet_dataaset_container)\n\n# Fetch all rows - tweet_container\nquery = tweet_data.query(\"select *\")\nrs = query.fetch(False)\nprint(f\"{tweet_dataaset_container} Data\")\n\n# Iterate and create a list\nretrieved_data = []\nwhile rs.has_next():\n    data = rs.next()\n    retrieved_data.append(data)\n\nprint(retrieved_data)\n\n# Convert the list to a pandas data frame\ntweet_dataframe = pd.DataFrame(retrieved_data,\n                                    columns=['sno', 'twitter_name', 'twitter_id', 'tweet', 'date'])\n\n# Get the data frame details\nprint(tweet_dataframe)\ntweet_dataframe.info()<\/code><\/pre>\n<\/div>\n
\u3053\u306e\u30af\u30a8\u30ea\u3067\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306b\u542b\u307e\u308c\u308b2013\u5e74\u304b\u30892018\u5e74\u307e\u3067\u306e\u3059\u3079\u3066\u306e\u30c4\u30a4\u30fc\u30c8\u30c7\u30fc\u30bf\u3092\u53d6\u5f97\u3057\u307e\u3059\u3002\u3053\u308c\u306f\u3001\u30c4\u30a4\u30fc\u30c8\u30c7\u30fc\u30bf\u30b3\u30f3\u30c6\u30ca\u304b\u3089\u884c\u5168\u4f53\u3092\u9078\u629e\u3059\u308b\u57fa\u672c\u7684\u306aTQL\u6587\u3067\u3059\u3002<\/p>\n
\n
query = tweet_data.query(\"select *\")\n<\/code><\/pre>\n<\/div>\n
\u9069\u5f53\u306a\u30af\u30a8\u30ea\u3092\u6e21\u3057\u3066\u3001\u3042\u308b\u6761\u4ef6\u3067\u30c7\u30fc\u30bf\u3092\u53d6\u5f97\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u3055\u3089\u306b\u3001\u305d\u306e\u30ea\u30b9\u30c8\u3092\u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u306b\u30de\u30c3\u30d4\u30f3\u30b0\u3059\u308b\u3053\u3068\u3082\u3067\u304d\u307e\u3059\u3002<\/p>\n
\u307e\u3068\u3081<\/strong><\/p>\n
\u4eca\u56de\u306e\u30d6\u30ed\u30b0\u306e\u30d1\u30fc\u30c81\u3067\u306f\u3001\u30a8\u30af\u30bb\u30eb\u30d5\u30a1\u30a4\u30eb\u304b\u3089\u611f\u60c5\u5206\u6790\u7528\u306e\u30c4\u30a4\u30fc\u30c8\u30c7\u30fc\u30bf\u3092\u524d\u51e6\u7406\u3059\u308b\u65b9\u6cd5\u306b\u3064\u3044\u3066\u8aac\u660e\u3057\u307e\u3057\u305f\u3002\u3055\u3089\u306b\u3001GridDB\u30b3\u30f3\u30c6\u30ca\u3092\u4f7f\u7528\u3057\u3066\u30b3\u30ec\u30af\u30b7\u30e7\u30f3\u3092\u4f5c\u6210\u3057\u3001\u5168\u4f53\u306b\u30af\u30a8\u30ea\u3092\u304b\u3051\u3066\u5fc5\u8981\u306a\u5c5e\u6027\u3092\u62bd\u51fa\u3057\u307e\u3057\u305f\u3002<\/p>\n
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