{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "AESO0odcxhzs"
},
"source": [
"# Prediciting Sentiments"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"INFO:ekorpkit.base:IPython version: (6, 9, 0), client: jupyter_client\n",
"INFO:ekorpkit.base:Google Colab not detected.\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"version: 0.1.35+2.g81d5295\n",
"is notebook? True\n",
"is colab? False\n",
"evironment varialbles:\n",
"{'CUDA_DEVICE_ORDER': None,\n",
" 'CUDA_VISIBLE_DEVICES': None,\n",
" 'EKORPKIT_CONFIG_DIR': '/workspace/projects/ekorpkit-book/config',\n",
" 'EKORPKIT_DATA_DIR': None,\n",
" 'EKORPKIT_LOG_LEVEL': 'WARNING',\n",
" 'EKORPKIT_PROJECT': 'ekorpkit-book',\n",
" 'EKORPKIT_WORKSPACE_ROOT': '/workspace',\n",
" 'KMP_DUPLICATE_LIB_OK': 'TRUE',\n",
" 'NUM_WORKERS': 230}\n"
]
}
],
"source": [
"from ekorpkit import eKonf\n",
"\n",
"eKonf.setLogger(\"WARNING\")\n",
"print(\"version:\", eKonf.__version__)\n",
"print(\"is notebook?\", eKonf.is_notebook())\n",
"print(\"is colab?\", eKonf.is_colab())\n",
"print(\"evironment varialbles:\")\n",
"eKonf.print(eKonf.env().dict())"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Prepare `edgar` sampel dataframe"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"INFO:ekorpkit.base:IPython version: (6, 9, 0), client: jupyter_client\n",
"WARNING:ekorpkit.pipelines.pipe:No pipeline specified\n"
]
},
{
"data": {
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\n",
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" | \n",
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" text | \n",
" cik | \n",
" company | \n",
" filing_type | \n",
" filing_date | \n",
" period_of_report | \n",
" sic | \n",
" state_of_inc | \n",
" state_location | \n",
" fiscal_year_end | \n",
" filing_html_index | \n",
" htm_filing_link | \n",
" complete_text_filing_link | \n",
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\n",
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" 1999-09-25 | \n",
" 3571 | \n",
" CA | \n",
" CA | \n",
" 0930 | \n",
" https://www.sec.gov/Archives/edgar/data/320193... | \n",
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\n",
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\n",
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\n",
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" PROCTER & GAMBLE CO | \n",
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" 1999-09-15 | \n",
" 1999-06-30 | \n",
" 2840 | \n",
" OH | \n",
" OH | \n",
" 0630 | \n",
" https://www.sec.gov/Archives/edgar/data/80424/... | \n",
" None | \n",
" https://www.sec.gov/Archives/edgar/data/80424/... | \n",
"
\n",
" \n",
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" 1018724 | \n",
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" 1999-12-31 | \n",
" 5961 | \n",
" DE | \n",
" WA | \n",
" 1231 | \n",
" https://www.sec.gov/Archives/edgar/data/101872... | \n",
" None | \n",
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"
\n",
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"\n",
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"\n",
" sic state_of_inc state_location fiscal_year_end \\\n",
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"1560 2080 DE GA 1231 \n",
"2746 6021 DE NC 1231 \n",
"3762 2840 OH OH 0630 \n",
"4806 5961 DE WA 1231 \n",
"\n",
" filing_html_index htm_filing_link \\\n",
"1410 https://www.sec.gov/Archives/edgar/data/320193... None \n",
"1560 https://www.sec.gov/Archives/edgar/data/21344/... None \n",
"2746 https://www.sec.gov/Archives/edgar/data/70858/... None \n",
"3762 https://www.sec.gov/Archives/edgar/data/80424/... None \n",
"4806 https://www.sec.gov/Archives/edgar/data/101872... None \n",
"\n",
" complete_text_filing_link \n",
"1410 https://www.sec.gov/Archives/edgar/data/320193... \n",
"1560 https://www.sec.gov/Archives/edgar/data/21344/... \n",
"2746 https://www.sec.gov/Archives/edgar/data/70858/... \n",
"3762 https://www.sec.gov/Archives/edgar/data/80424/... \n",
"4806 https://www.sec.gov/Archives/edgar/data/101872... "
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df_cfg = eKonf.compose('pipeline=blank')\n",
"df_cfg.name = 'edgar_sample'\n",
"df_cfg.path.cache.uri = 'https://github.com/entelecheia/ekorpkit-book/raw/main/assets/data/edgar.zip'\n",
"df_cfg.data_dir = df_cfg.path.cached_path\n",
"df_cfg.data_dir += \"/edgar\"\n",
"df_cfg.data_file = 'edgar.parquet'\n",
"df_cfg.data_columns = ['id', 'filename', 'item', 'cik', 'company', 'text']\n",
"df = eKonf.instantiate(df_cfg)\n",
"df.head()"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "pzjBtQqpnqcy"
},
"source": [
"## Prepare `financial_phrasebank` dataset"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 659
},
"id": "RdpBCIbBny8z",
"outputId": "f655ea5b-5afb-43a1-cfec-7df3e6d32d92"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Dataset : financial_phrasebank\n"
]
}
],
"source": [
"ds_cfg = eKonf.compose('dataset')\n",
"ds_cfg.name = 'financial_phrasebank'\n",
"ds_cfg.path.cache.uri = 'https://github.com/entelecheia/ekorpkit-book/raw/main/assets/data/financial_phrasebank.zip'\n",
"ds_cfg.data_dir = ds_cfg.path.cached_path\n",
"ds = eKonf.instantiate(ds_cfg)\n",
"print(ds)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "dOpN8AxSxhzv"
},
"source": [
"## Compose a config for the LM sentiment analyser class"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"id": "w7F_qmC8nUue"
},
"outputs": [],
"source": [
"model_cfg = eKonf.compose('model/sentiment=lm')"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "U26yEB4gotyT"
},
"source": [
"## Instantiating a sentiment analyser class and prediting sentiments of `edgar` dataset"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 639
},
"id": "SEBHqvYvnUui",
"outputId": "945c3bc5-f669-44ac-94a9-4d917decf246"
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"INFO:ekorpkit.base:instantiating ekorpkit.pipelines.pipe.pipeline...\n",
"INFO:ekorpkit.base:instantiating ekorpkit.pipelines.data.Data...\n",
"INFO:ekorpkit.base:Applying pipe: functools.partial()\n",
"INFO:ekorpkit.base:instantiating ekorpkit.models.sentiment.lbsa.SentimentAnalyser...\n",
"INFO:ekorpkit.base:Calling load_candidates\n",
"INFO:ekorpkit.base:Using batcher with minibatch size: 16\n"
]
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "0f1d24fc37984047904564994cadde60",
"version_major": 2,
"version_minor": 0
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"text/plain": [
"Predicting [text]: 0%| | 0/100 [00:00, ?it/s]"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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\n",
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" | \n",
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" filing_date | \n",
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" sic | \n",
" state_of_inc | \n",
" state_location | \n",
" fiscal_year_end | \n",
" filing_html_index | \n",
" htm_filing_link | \n",
" complete_text_filing_link | \n",
" num_tokens | \n",
" polarity | \n",
" polarity_label | \n",
" uncertainty | \n",
"
\n",
" \n",
" \n",
" \n",
" 1410 | \n",
" 1534 | \n",
" 1999/320193_10K_1999_0000912057-99-010244.json | \n",
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" 1999-09-25 | \n",
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" 1999-12-31 | \n",
" 2080 | \n",
" DE | \n",
" GA | \n",
" 1231 | \n",
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\n",
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" 70858 | \n",
" BANK OF AMERICA CORP /DE/ | \n",
" 10-K | \n",
" 2000-03-20 | \n",
" 1999-12-31 | \n",
" 6021 | \n",
" DE | \n",
" NC | \n",
" 1231 | \n",
" https://www.sec.gov/Archives/edgar/data/70858/... | \n",
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" 3491 | \n",
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\n",
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" 80424 | \n",
" PROCTER & GAMBLE CO | \n",
" 10-K | \n",
" 1999-09-15 | \n",
" 1999-06-30 | \n",
" 2840 | \n",
" OH | \n",
" OH | \n",
" 0630 | \n",
" https://www.sec.gov/Archives/edgar/data/80424/... | \n",
" None | \n",
" https://www.sec.gov/Archives/edgar/data/80424/... | \n",
" 1259 | \n",
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\n",
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" 5211 | \n",
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" item_1 | \n",
" ITEM 1. \\nBUSINESS This Annual Report on Form ... | \n",
" 1018724 | \n",
" AMAZON COM INC | \n",
" 10-K | \n",
" 2000-03-29 | \n",
" 1999-12-31 | \n",
" 5961 | \n",
" DE | \n",
" WA | \n",
" 1231 | \n",
" https://www.sec.gov/Archives/edgar/data/101872... | \n",
" None | \n",
" https://www.sec.gov/Archives/edgar/data/101872... | \n",
" 12335 | \n",
" -0.104167 | \n",
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"
\n",
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"text/plain": [
" id filename item \\\n",
"1410 1534 1999/320193_10K_1999_0000912057-99-010244.json item_1 \n",
"1560 1697 1999/21344_10K_1999_0000021344-00-000009.json item_1 \n",
"2746 2977 1999/70858_10K_1999_0000950168-00-000621.json item_1 \n",
"3762 4088 1999/80424_10K_1999_0000080424-99-000027.json item_1 \n",
"4806 5211 1999/1018724_10K_1999_0000891020-00-000622.json item_1 \n",
"\n",
" text cik \\\n",
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"1560 ITEM 1. \\nBUSINESS The Coca-Cola Company (toge... 21344 \n",
"2746 Item 1. \\nBUSINESS General Bank of America Cor... 70858 \n",
"3762 Item 1. \\nBusiness. \\n--------- General Develo... 80424 \n",
"4806 ITEM 1. \\nBUSINESS This Annual Report on Form ... 1018724 \n",
"\n",
" company filing_type filing_date period_of_report \\\n",
"1410 APPLE COMPUTER INC 10-K 1999-12-22 1999-09-25 \n",
"1560 COCA COLA CO 10-K 2000-03-09 1999-12-31 \n",
"2746 BANK OF AMERICA CORP /DE/ 10-K 2000-03-20 1999-12-31 \n",
"3762 PROCTER & GAMBLE CO 10-K 1999-09-15 1999-06-30 \n",
"4806 AMAZON COM INC 10-K 2000-03-29 1999-12-31 \n",
"\n",
" sic state_of_inc state_location fiscal_year_end \\\n",
"1410 3571 CA CA 0930 \n",
"1560 2080 DE GA 1231 \n",
"2746 6021 DE NC 1231 \n",
"3762 2840 OH OH 0630 \n",
"4806 5961 DE WA 1231 \n",
"\n",
" filing_html_index htm_filing_link \\\n",
"1410 https://www.sec.gov/Archives/edgar/data/320193... None \n",
"1560 https://www.sec.gov/Archives/edgar/data/21344/... None \n",
"2746 https://www.sec.gov/Archives/edgar/data/70858/... None \n",
"3762 https://www.sec.gov/Archives/edgar/data/80424/... None \n",
"4806 https://www.sec.gov/Archives/edgar/data/101872... None \n",
"\n",
" complete_text_filing_link num_tokens polarity \\\n",
"1410 https://www.sec.gov/Archives/edgar/data/320193... 3901 -0.117647 \n",
"1560 https://www.sec.gov/Archives/edgar/data/21344/... 6755 0.066667 \n",
"2746 https://www.sec.gov/Archives/edgar/data/70858/... 3491 -0.219512 \n",
"3762 https://www.sec.gov/Archives/edgar/data/80424/... 1259 0.166667 \n",
"4806 https://www.sec.gov/Archives/edgar/data/101872... 12335 -0.104167 \n",
"\n",
" polarity_label uncertainty \n",
"1410 neutral 0.011280 \n",
"1560 neutral 0.014805 \n",
"2746 negative 0.008595 \n",
"3762 neutral 0.011915 \n",
"4806 neutral 0.020025 "
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"cfg = eKonf.compose(config_group='pipeline')\n",
"cfg.verbose = True\n",
"cfg.name = 'edgar_sentiments'\n",
"cfg.path.cache.uri = 'https://github.com/entelecheia/ekorpkit-book/raw/main/assets/data/edgar.zip'\n",
"cfg.data_dir = cfg.path.cached_path\n",
"cfg.data_dir += \"/edgar\"\n",
"cfg.data_file = 'edgar.parquet'\n",
"cfg.data_columns = ['id', 'filename', 'item', 'cik', 'company', 'text']\n",
"cfg._pipeline_ = ['predict']\n",
"cfg.predict.model = model_cfg\n",
"cfg.predict.output_dir = \"../data/predict\"\n",
"cfg.predict.output_file = f'{cfg.name}-lm.parquet'\n",
"cfg.num_workers = 100\n",
"df = eKonf.instantiate(cfg)\n",
"df.head()"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"id": "MS2eYHjSnUui",
"outputId": "562ba0b8-6264-415e-bf48-60e120dc36ec"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"../data/predict\n",
"edgar_sentiments-lm.parquet\n"
]
}
],
"source": [
"print(cfg.predict.output_dir)\n",
"print(cfg.predict.output_file)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "3uhF3cDynUuj",
"outputId": "a50d12e1-9ab3-4496-af54-cae58051f1ed"
},
"source": [
"## Instantiating a transformer classficiation model with `financial_phrasebank` dataset"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {
"id": "i9__LTKOnUuj"
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"INFO:ekorpkit.base:Calling train\n"
]
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "3fafad29bc8c4fb7bc79e38850c02444",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
" 0%| | 0/1445 [00:00, ?it/s]"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stderr",
"output_type": "stream",
"text": [
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"overrides=[\n",
" '+model/transformer=classification',\n",
" '+model/transformer/pretrained=finbert',\n",
"]\n",
"model_cfg = eKonf.compose('model/transformer=classification', overrides)\n",
"model_cfg.dataset = ds_cfg\n",
"model_cfg.verbose = False\n",
"model_cfg.config.num_train_epochs = 2\n",
"model_cfg.config.max_seq_length = 256\n",
"model_cfg.config.train_batch_size = 32\n",
"model_cfg.config.eval_batch_size = 32\n",
"model_cfg.labels = ['positive','neutral','negative']\n",
"model_cfg._method_ = ['train']\n",
"eKonf.instantiate(model_cfg)"
]
},
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"cfg.data_dir = cfg.path.cached_path\n",
"cfg.data_dir += \"/edgar\"\n",
"cfg.data_file = 'edgar.parquet'\n",
"cfg.data_columns = ['id', 'filename', 'item', 'cik', 'company', 'text']\n",
"cfg._pipeline_ = ['predict']\n",
"cfg.predict.model = model_cfg\n",
"cfg.predict.output_dir = \"./data/predict\"\n",
"cfg.predict.output_file = f'{cfg.name}-finbert.parquet'\n",
"cfg.num_workers = 1\n",
"df = eKonf.instantiate(cfg)\n",
"df.head()"
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